Ali Akoglu
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- Ali Akoglu (42)
- Salim Hariri (7)
- Nirmal Kumbhare (6)
- Gregory Mark Striemer (5)
- Joshua Mack (5)
- Yang Song (5)
- Cihan Tunc (4)
- Adarsha Sreeramareddy (3)
- Bhavesh Khemka (3)
- Dylan Machovec (3)
- Howard Jay Siegel (3)
- Sahil Hassan (3)
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- Senthilkumar Thoravi Rajavel (2)
- Sethuraman (Panch) Panchanathan (2)
- Talal Moukabary (2)
- Umit Yusuf Ogras (2)
- Yang Song (2)
- Yoon Kah Leow (2)
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Journal/Magazine Names
- ACM Transactions on Embedded Computing Systems (3)
- ACM Transactions on Reconfigurable Technology and Systems (3)
- Cluster Computing (3)
- Journal of Signal Processing Systems (3)
- The Journal of Supercomputing (3)
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2)
- International Journal of Reconfigurable Computing (2)
- Computers and Electrical Engineering (1)
- Computers and Electronics in Agriculture (1)
- IEEE Transactions on Parallel and Distributed Systems (1)
- Parallel Computing (1)
Proceedings/Book Names
- AHS '09: Proceedings of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems (2)
- IPDPS '09: Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing (2)
- AHS '07: Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (1)
- AHS '08: Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems (1)
- Application specific reconfigurable architecture design methodology (1)
- CODES/ISSS '19: Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion (1)
- DAC '11: Proceedings of the 48th Design Automation Conference (1)
- ECBS '11: Proceedings of the 2011 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems (1)
- FRAME '23: Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge (1)
- HPDC '10: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (1)
- ICCAC '14: Proceedings of the 2014 International Conference on Cloud and Autonomic Computing (1)
- IPDPS '02: Proceedings of the 16th International Parallel and Distributed Processing Symposium (1)
- IPDPS '14: Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium (1)
- IPDPSW '12: Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (1)
- IPDPSW '13: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum (1)
- SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (1)
- ScienceCloud '16: Proceedings of the ACM 7th Workshop on Scientific Cloud Computing (1)
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- research-articlePublished By ACMPublished By ACM
Coarse-Grained Task Parallelization by Dynamic Profiling for Heterogeneous SoC-Based Embedded System
- Liangliang Chang
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States
, - Serhan Gener
Electrical and Computer Engineering Department, The University of Arizona, Tucson, United States
, - Joshua Mack
Electrical and Computer Engineering Department, The University of Arizona, Tucson, United States
, - Hasan Umut Suluhan
Electrical and Computer Engineering Department, The University of Arizona, Tucson, United States
, - Ali Akoglu
Electrical and Computer Engineering Department, The University of Arizona, Tucson, United States
, - Chaitali Chakrabarti
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, United States
ACM Transactions on Embedded Computing Systems, Volume 24, Issue 1•January 2025, Article No.: 18, pp 1-32 • https://doi.org/10.1145/3704635In this study, we introduce a methodology for automatically transforming user applications written in C/C++ to a parallel representation consisting of coarse-grained tasks based on dynamic profiling. Such a parallel representation is suitable for mapping ...
- 0Citation
- 105
- Downloads
MetricsTotal Citations0Total Downloads105Last 12 Months105Last 6 weeks61
- Liangliang Chang
- research-articleOpen AccessPublished By ACMPublished By ACM
Tutorial: A Novel Runtime Environment for Accelerator-Rich Heterogeneous Architectures
- Joshua Mack
Electrical and Computer Engineering, The University of Arizona, Tucson, United States
, - Anish Krishnakumar
Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States
, - Umit Ogras
Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, United States
, - Ali Akoglu
Electrical and Computer Engineering, The University of Arizona, Tucson, United States
ACM Transactions on Embedded Computing Systems, Volume 24, Issue 1•January 2025, Article No.: 20, pp 1-24 • https://doi.org/10.1145/3687463As the landscape of computing advances, system designers are increasingly exploring methodologies that leverage higher levels of heterogeneity to enhance performance within constrained size, weight, power, and cost parameters. CEDR (Compiler-integrated ...
- 0Citation
- 332
- Downloads
MetricsTotal Citations0Total Downloads332Last 12 Months332Last 6 weeks133
- Joshua Mack
- research-articleOpen AccessPublished By ACMPublished By ACM
Value-Based Resource Management at SoC Scale
- Serhan Gener
University of Arizona, United States of America
, - Sahil Hassan
University of Arizona, United States of America
, - Ali Akoglu
University of Arizona, United States of America
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis•November 2023, pp 1642-1650• https://doi.org/10.1145/3624062.3624243Value-based resource management heuristics, which are traditionally deployed in heterogeneous HPC systems, maximize system productivity by assigning resources to each job based on its priority and estimated value gain relative to each job’s completion ...
- 0Citation
- 196
- Downloads
MetricsTotal Citations0Total Downloads196Last 12 Months165Last 6 weeks17- 1
Supplementary Materialvalue-based_resource_management_at_soc_scale (1080p).mp4
- Serhan Gener
- short-paperOpen AccessPublished By ACMPublished By ACM
Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems
- Ismet Dagli
Colorado School of Mines, Golden, CO, USA
, - Andrew Depke
Colorado School of Mines, Golden, CO, USA
, - Andrew Mueller
Colorado School of Mines, 0009-0009-0575-6353, CO, USA
, - Md Sahil Hassan
University of Arizona, Tucson, AZ, USA
, - Ali Akoglu
University of Arizona, Tucson, AZ, USA
, - Mehmet Esat Belviranli
Colorado School of Mines, Golden, CO, USA
FRAME '23: Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge•August 2023, pp 27-31• https://doi.org/10.1145/3589010.3594889Diversely Heterogeneous System-on-Chips (DH-SoC) are increasingly popular computing platforms in many fields, such as autonomous driving and AR/VR applications, due to their ability to effectively balance performance and energy efficiency. Having ...
- 1Citation
- 263
- Downloads
MetricsTotal Citations1Total Downloads263Last 12 Months152Last 6 weeks17
- Ismet Dagli
- research-article
A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic Architecture
- Sahil Hassan
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Parker Dattilo
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Volume 42, Issue 12•Dec. 2023, pp 4706-4720 • https://doi.org/10.1109/TCAD.2023.3285410The Internet of Things infrastructure connects a massive number of edge devices with an increasing demand for intelligent sensing and inferencing capability. Such data-sensitive functions necessitate energy-efficient and programmable implementations of ...
- 0Citation
MetricsTotal Citations0
- Sahil Hassan
- research-articleOpen AccessPublished By ACMPublished By ACM
CEDR: A Compiler-integrated, Extensible DSSoC Runtime
- Joshua Mack*
University of Arizona Department of Electrical & Computer Engineering, Tucson, Arizona, USA
, - Sahil Hassan*
University of Arizona Department of Electrical & Computer Engineering, Tucson, Arizona, USA
, - Nirmal Kumbhare
University of Arizona Department of Electrical & Computer Engineering, Tucson, Arizona, USA
, - Miguel Castro Gonzalez
University of Arizona Department of Electrical & Computer Engineering, Tucson, Arizona, USA
, - Ali Akoglu
University of Arizona Department of Electrical & Computer Engineering, Tucson, Arizona, USA
ACM Transactions on Embedded Computing Systems, Volume 22, Issue 2•March 2023, Article No.: 36, pp 1-34 • https://doi.org/10.1145/3529257In this work, we present a Compiler-integrated, Extensible Domain Specific System on Chip Runtime (CEDR) ecosystem to facilitate research toward addressing the challenges of architecture, system software, and application development with distinct plug-and-...
- 14Citation
- 2,102
- Downloads
MetricsTotal Citations14Total Downloads2,102Last 12 Months869Last 6 weeks129
- Joshua Mack*
- research-article
RANC: Reconfigurable Architecture for Neuromorphic Computing
- Joshua Mack
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Ruben Purdy
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
, - Kris Rockowitz
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Michael Inouye
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Edward Richter
Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, Urbana, IL, USA
, - Spencer Valancius
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Nirmal Kumbhare
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Md Sahil Hassan
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Kaitlin Fair
Air Force Research Laboratory Munitions Directorate (AFRL/RW), Eglin AFB, FL, USA
, - John Mixter
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Volume 40, Issue 11•Nov. 2021, pp 2265-2278 • https://doi.org/10.1109/TCAD.2020.3038151Neuromorphic architectures have been introduced as platforms for energy-efficient spiking neural network execution. The massive parallelism offered by these architectures has also triggered interest from nonmachine learning application domains. In order ...
- 3Citation
MetricsTotal Citations3
- Joshua Mack
- research-articlePublic Access
GPGPU Based Parallel Implementation of Spectral Correlation Density Function
- Scott Marshall
Department of Electrical and Computer Engineering, University of Arizona, 1230 E. Speedway Blvd., 85737, Tucson, AZ, USA
, - Garrett Vanhoy
EpiSys Science, Inc, 13025 Danielson St, Suite 106, 92064, Poway, CA, USA
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, 1230 E. Speedway Blvd., 85737, Tucson, AZ, USA
, - Tamal Bose
Department of Electrical and Computer Engineering, University of Arizona, 1230 E. Speedway Blvd., 85737, Tucson, AZ, USA
, - Bo Ryu
EpiSys Science, Inc, 13025 Danielson St, Suite 106, 92064, Poway, CA, USA
Journal of Signal Processing Systems, Volume 92, Issue 1•Jan 2020, pp 71-93 • https://doi.org/10.1007/s11265-019-01448-7AbstractIn this study, the parallelization of a critical statistical feature of communication signals called the spectral correlation density (SCD) is investigated. The SCD is used for synchronization in OFDM-based systems such as LTE and Wi-Fi, but is ...
- 2Citation
MetricsTotal Citations2
- Scott Marshall
- research-articlePublished By ACMPublished By ACM
A simulation framework for domain-specific system-on-chips: work-in-progress
- Samet E. Arda
Arizona State University
, - Anish NK
Arizona State University
, - A. Alper Goksoy
Arizona State University
, - Joshua Mack
The University of Arizona
, - Nirmal Kumbhare
The University of Arizona
, - Anderson L. Sartor
Carnegie Mellon University
, - Ali Akoglu
The University of Arizona
, - Radu Marculescu
Carnegie Mellon University
, - Umit Y. Ogras
Arizona State University
CODES/ISSS '19: Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion•October 2019, Article No.: 3, pp 1-2• https://doi.org/10.1145/3349567.3351719Homogeneous general purpose processors provide flexibility to implement a variety of applications and facilitate programmability. In contrast, heterogeneous system-on-chips (SoCs) that combine general purpose and specialized processors offer great ...
- 2Citation
- 202
- Downloads
MetricsTotal Citations2Total Downloads202Last 12 Months11Last 6 weeks1
- Samet E. Arda
- research-article
Implementation of scalable bidomain-based 3D cardiac simulations on a graphics processing unit cluster
- Ehsan Esmaili
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA 85721
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA 85721
, - Salim Hariri
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA 85721
, - Talal Moukabary
Carondelet Heart and Vascular Institute - Cardiology West, Tucson, USA 85745
The Journal of Supercomputing, Volume 75, Issue 8•Aug 2019, pp 5475-5506 • https://doi.org/10.1007/s11227-019-02796-8AbstractComputational models of the human cardiac cells provide detailed properties of human ventricular cells. The execution time for a realistic 3D heart simulation based on these models is a major barrier for physicians to study and understand the ...
- 0Citation
MetricsTotal Citations0
- Ehsan Esmaili
- research-article
Utility-based resource management in an oversubscribed energy-constrained heterogeneous environment executing parallel applications
- Dylan Machovec
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
, - Bhavesh Khemka
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
, - Nirmal Kumbhare
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
, - Sudeep Pasricha
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA
, - Anthony A. Maciejewski
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
, - Howard Jay Siegel
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
, - Gregory A. Koenig
Oak Ridge National Laboratory, Computer Science and Mathematics Division, Oak Ridge, United States
, - Salim Hariri
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
, - Cihan Tunc
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
, - Michael Wright
Department of Defense, Washington, DC 20001, USA
, - Marcia Hilton
Department of Defense, Washington, DC 20001, USA
, - Rajendra Rambharos
Department of Defense, Washington, DC 20001, USA
, - Christopher Blandin
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
, - Farah Fargo
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA
, - Ahmed Louri
Department of Electrical and Computer Engineering, George Washington University, Washington, DC, 20052, USA
, - Neena Imam
Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Parallel Computing, Volume 83, Issue C•Apr 2019, pp 48-72 • https://doi.org/10.1016/j.parco.2017.11.005Highlights- Heuristics were designed for maximizing the utility earned by parallel tasks.
- ...
AbstractThe worth of completing parallel tasks is modeled using utility functions, which monotonically-decrease with time and represent the importance and urgency of a task. These functions define the utility earned by a task at the time of ...
- 1Citation
MetricsTotal Citations1
- Dylan Machovec
- article
Balancing the learning ability and memory demand of a perceptron-based dynamically trainable neural network
- Edward Richter
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA
, - Spencer Valancius
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA
, - Josiah Mcclanahan
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA
, - John Mixter
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA
The Journal of Supercomputing, Volume 74, Issue 7•July 2018, pp 3211-3235 • https://doi.org/10.1007/s11227-018-2374-xArtificial neural networks (ANNs) have become a popular means of solving complex problems in prediction-based applications such as image and natural language processing. Two challenges prominent in the neural network domain are the practicality of ...
- 0Citation
MetricsTotal Citations0
- Edward Richter
- article
Value of service based resource management for large-scale computing systems
- Cihan Tunc
NSF Center for Cloud and Autonomic Computing, The University of Arizona, Tucson, USA 85721
, - Dylan Machovec
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, USA 80523
, - Nirmal Kumbhare
NSF Center for Cloud and Autonomic Computing, The University of Arizona, Tucson, USA 85721
, - Ali Akoglu
NSF Center for Cloud and Autonomic Computing, The University of Arizona, Tucson, USA 85721
, - Salim Hariri
NSF Center for Cloud and Autonomic Computing, The University of Arizona, Tucson, USA 85721
, - Bhavesh Khemka
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, USA 80523
, - Howard Jay Siegel
Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, USA 80523 and Department of Computer Science, Colorado State University, Fort Collins, USA 80523
Cluster Computing, Volume 20, Issue 3•September 2017, pp 2013-2030 • https://doi.org/10.1007/s10586-017-0901-9Task scheduling for large-scale computing systems is a challenging problem. From the users perspective, the main concern is the performance of the submitted tasks, whereas, for the cloud service providers, reducing operation cost while providing the ...
- 0Citation
MetricsTotal Citations0
- Cihan Tunc
- research-articlePublic AccessPublished By ACMPublished By ACM
Value-Based Resource Management in High-Performance Computing Systems
- Dylan Machovec
Colorado State University, Fort Collins, CO, USA
, - Cihan Tunc
University of Arizona, Tucson, AZ, USA
, - Nirmal Kumbhare
University of Arizona, Tucson, AZ, USA
, - Bhavesh Khemka
Colorado State University, Fort Collins, CO, USA
, - Ali Akoglu
University of Arizona, Tucson, AZ, USA
, - Salim Hariri
University of Arizona, Tucson, AZ, USA
, - Howard Jay Siegel
Colorado State University, Fort Collins, CO, USA
ScienceCloud '16: Proceedings of the ACM 7th Workshop on Scientific Cloud Computing•June 2016, pp 19-26• https://doi.org/10.1145/2913712.2913716We introduce a new metric, Value of Service (VoS), which enables resource management techniques for high-performance computing (HPC) systems to take into consideration the value of completion time of a task and the value of energy used to compute that ...
- 9Citation
- 377
- Downloads
MetricsTotal Citations9Total Downloads377Last 12 Months86Last 6 weeks7
- Dylan Machovec
- Article
Autonomic Workload and Resources Management of Cloud Computing Services
ICCAC '14: Proceedings of the 2014 International Conference on Cloud and Autonomic Computing•September 2014, pp 101-110• https://doi.org/10.1109/ICCAC.2014.36The power consumption of data centers and cloud systems have increased almost three times between 2007 and 2012. Over-provisioning techniques are typically used for meeting the peak workloads. In this paper we present an autonomic power and performance ...
- 4Citation
MetricsTotal Citations4
- Article
Overcoming the Limitations Posed by TCR-beta Repertoire Modeling through a GPU-Based In-Silico DNA Recombination Algorithm
- Gregory Striemer,
- Harsha Krovi,
- Ali Akoglu,
- Benjamin Vincent,
- Ben Hopson,
- Jeffrey Frelinger,
- Adam Buntzman
IPDPS '14: Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium•May 2014, pp 231-240• https://doi.org/10.1109/IPDPS.2014.34The DNA recombination process known as V(D)J recombination is the central mechanism for generating diversity among antigen receptors such as T-cell receptors (TCRs). This diversity is crucial for the development of the adaptive immune system. However, ...
- 0Citation
MetricsTotal Citations0
- research-articlePublished By ACMPublished By ACM
An Analytical Model for Evaluating Static Power of Homogeneous FPGA Architectures
- Yoon Kah Leow
University of Arizona
, - Ali Akoglu
University of Arizona
, - Susan Lysecky
University of Arizona
ACM Transactions on Reconfigurable Technology and Systems, Volume 6, Issue 4•December 2013, Article No.: 18, pp 1-22 • https://doi.org/10.1145/2535935As capacity of the field-programmable gate arrays (FPGAs) continues to increase, power dissipated in the logic and routing resources has become a critical concern for FPGA architects. Recent studies have shown that static power is fast approaching the ...
- 1Citation
- 184
- Downloads
MetricsTotal Citations1Total Downloads184Last 12 Months7Last 6 weeks1
- Yoon Kah Leow
- article
An Adaptive Motion Estimation Architecture for H.264/AVC
- Yang Song
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA 85721
, - Ali Akoglu
Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA 85721
Journal of Signal Processing Systems, Volume 73, Issue 2•November 2013, pp 161-179 • https://doi.org/10.1007/s11265-013-0740-8We introduce a variable block size motion estimation architecture that is adaptive to the full search (FS) and the three-step search (3SS) algorithms. Early termination, intensive data reuse, pipelined datapath with bit serial execution, and memory ...
- 0Citation
MetricsTotal Citations0
- Yang Song
- research-articlePublished By ACMPublished By ACM
Integration of Net-Length Factor with Timing- and Routability-Driven Clustering Algorithms
- Hanyu Liu
University of Arizona
, - Senthilkumar T. Rajavel
University of Arizona
, - Ali Akoglu
University of Arizona
ACM Transactions on Reconfigurable Technology and Systems, Volume 6, Issue 3•October 2013, Article No.: 12, pp 1-21 • https://doi.org/10.1145/2517324In FPGA CAD flow, the clustering stage builds the foundation for placement and routing stages and affects performance parameters, such as routability, delay, and channel width significantly. Net sharing and criticality are the two most commonly used ...
- 0Citation
- 181
- Downloads
MetricsTotal Citations0Total Downloads181Last 12 Months9Last 6 weeks1
- Hanyu Liu
- Article
A Hybrid FPGA Model to Estimate On-Chip Crossbar Logic Utilization in SoC Platforms
IPDPSW '13: Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing Workshops and PhD Forum•May 2013, pp 239-246• https://doi.org/10.1109/IPDPSW.2013.138FPGA analytical models, that express the relationship between architectural parameters (e.g., LUT size, cluster size, inputs per cluster, etc) and performance (e.g., logic utilization, critical path delay, power, etc), have been designed mainly for ...
- 0Citation
MetricsTotal Citations0
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
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- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner