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Tony Nowatzki
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2020 – today
- 2024
- [j16]Shizhuo Zhu, Illia Shkirko, Jacob Levinson, Zhengrong Wang, Tony Nowatzki:
SPGPU: Spatially Programmed GPU. IEEE Comput. Archit. Lett. 23(2): 223-226 (2024) - 2023
- [c29]Shail Dave
, Tony Nowatzki
Explainable-DSE: An Agile and Explainable Exploration of Efficient HW/SW Codesigns of Deep Learning Accelerators Using Bottleneck Analysis. ASPLOS (4) 2023: 87-107 - [c28]Zhengrong Wang, Christopher Liu, Aman Arora
Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion. ASPLOS (3) 2023: 359-375 - [c27]Zhengrong Wang
Affinity Alloc: Taming Not-So Near-Data Computing. MICRO 2023: 784-799 - [i5]Aman Arora
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. CoRR abs/2311.11384 (2023) - 2022
- [j15]Zhengrong Wang
Infinity Stream: Enabling Transparent and Automated In-Memory Computing. IEEE Comput. Archit. Lett. 21(2): 85-88 (2022) - [j14]Jian Weng
Unifying Spatial Accelerator Compilation With Idiomatic and Modular Transformations. IEEE Micro 42(5): 59-69 (2022) - [c26]Vidushi Dadu
TaskStream: accelerating task-parallel workloads by recovering program structure. ASPLOS 2022: 1-13 - [c25]Zhengrong Wang, Jian Weng, Sihao Liu, Tony Nowatzki:
Near-Stream Computing: General and Transparent Near-Cache Acceleration. HPCA 2022: 331-345 - [c24]Karthikeyan Sankaralingam, Tony Nowatzki, Vinay Gangadhar, Preyas Shah, Michael Davies, William Galliher, Ziliang Guo, Jitu Khare, Deepak Vijay, Poly Palamuttam, Maghawan Punde, Alex Tan, Vijay Thiruvengadam, Rongyi Wang, Shunmiao Xu:
The Mozart reuse exposed dataflow processor for AI and beyond: industrial product. ISCA 2022: 978-992 - [c23]Sihao Liu, Jian Weng, Dylan Kupsh, Atefeh Sohrabizadeh, Zhengrong Wang, Licheng Guo, Jiuyang Liu, Maxim Zhulin, Rishabh Mani, Lucheng Zhang, Jason Cong, Tony Nowatzki:
OverGen: Improving FPGA Usability through Domain-specific Overlay Generation. MICRO 2022: 35-56 - [c22]Graham Gobieski, Souradip Ghosh, Marijn Heule, Todd C. Mowry, Tony Nowatzki, Nathan Beckmann, Brandon Lucia:
A programmable, energy-minimal dataflow compiler and architecture. MICRO 2022: 546-564 - 2021
- [j13]Shail Dave
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. Proc. IEEE 109(10): 1706-1752 (2021) - [c21]Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki:
UNIT: Unifying Tensorized Instruction Compilation. CGO 2021: 77-89 - [c20]Karu Sankaralingam, Tony Nowatzki, Greg Wright, Poly Palamuttam, Jitu Khare, Vinay Gangadhar, Preyas Shah:
Mozart: Designing for Software Maturity and the Next Paradigm for Chip Architectures. HCS 2021: 1-20 - [c19]Zhengrong Wang, Jian Weng, Jason Lowe-Power
Stream Floating: Enabling Proactive and Decentralized Cache Optimizations. HPCA 2021: 640-653 - [c18]Vidushi Dadu, Sihao Liu, Tony Nowatzki:
PolyGraph: Exposing the Value of Flexibility for Graph Processing Accelerators. ISCA 2021: 595-608 - [i4]Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki:
UNIT: Unifying Tensorized Instruction Compilation. CoRR abs/2101.08458 (2021) - 2020
- [j12]Vidushi Dadu, Jian Weng, Sihao Liu
Towards General-Purpose Acceleration: Finding Structure in Irregularity. IEEE Micro 40(3): 37-46 (2020) - [c17]Jian Weng, Sihao Liu
A Hybrid Systolic-Dataflow Architecture for Inductive Matrix Algorithms. HPCA 2020: 703-716 - [c16]Jian Weng, Sihao Liu
DSAGEN: Synthesizing Programmable Spatial Accelerators. ISCA 2020: 268-281 - [i3]Shail Dave
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights. CoRR abs/2007.00864 (2020)
2010 – 2019
- 2019
- [j11]Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam:
Heterogeneous Von Neumann/dataflow microprocessors. Commun. ACM 62(6): 83-91 (2019) - [j10]Jian Weng
DAEGEN: A Modular Compiler for Exploring Decoupled Spatial Accelerators. IEEE Comput. Archit. Lett. 18(2): 161-165 (2019) - [c15]Zhengrong Wang, Tony Nowatzki:
Stream-based memory access specialization for general purpose processors. ISCA 2019: 736-749 - [c14]Vidushi Dadu, Jian Weng, Sihao Liu
Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms. MICRO 2019: 924-939 - [c13]Amirali Sharifian, Reza Hojabr, Navid Rahimi, Sihao Liu
μIR -An intermediate representation for transforming and optimizing the microarchitecture of application accelerators. MICRO 2019: 940-953 - [i2]Jian Weng, Vidushi Dadu, Tony Nowatzki:
Exploiting Fine-Grain Ordered Parallelism in Dense Matrix Algorithms. CoRR abs/1905.06238 (2019) - 2018
- [c12]Tony Nowatzki, Newsha Ardalani, Karthikeyan Sankaralingam, Jian Weng:
Hybrid optimization/heuristic instruction scheduling for programmable accelerator codesign. PACT 2018: 36:1-36:15 - 2017
- [j9]Gagan Gupta, Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam:
Kickstarting Semiconductor Innovation with Open Source Hardware. Computer 50(6): 50-59 (2017) - [j8]Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam, Greg Wright:
Domain Specialization Is Generally Unnecessary for Accelerators. IEEE Micro 37(3): 40-50 (2017) - [c11]Tony Nowatzki, Vinay Gangadhar, Newsha Ardalani, Karthikeyan Sankaralingam:
Stream-Dataflow Acceleration. ISCA 2017: 416-429 - 2016
- [j7]Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam:
A Heterogeneous Von Neumann/Explicit Dataflow Processor. IEEE Micro 36(3): 20-30 (2016) - [c10]Tony Nowatzki, Karthikeyan Sankaralingam:
Analyzing Behavior Specialized Acceleration. ASPLOS 2016: 697-711 - [c9]Tony Nowatzki, Karthikeyan Sankaralingam:
Modularizing the microprocessor core to outperform traditional out-of-order. Hot Chips Symposium 2016: 1-4 - [c8]Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam, Greg Wright:
Pushing the limits of accelerator efficiency while retaining programmability. HPCA 2016: 27-39 - [c7]Matthew A. Watkins, Tony Nowatzki, Anthony Carno:
Software transparent dynamic binary translation for coarse-grain reconfigurable architectures. HPCA 2016: 138-150 - [i1]Gagan Gupta, Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam:
Open-source Hardware: Opportunities and Challenges. CoRR abs/1606.01980 (2016) - 2015
- [j6]Tony Nowatzki, Venkatraman Govindaraju, Karthikeyan Sankaralingam:
A Graph-Based Program Representation for Analyzing Hardware Specialization Approaches. IEEE Comput. Archit. Lett. 14(2): 94-98 (2015) - [j5]Tony Nowatzki, Jaikrishnan Menon, Chen-Han Ho, Karthikeyan Sankaralingam:
Architectural Simulators Considered Harmful. IEEE Micro 35(6): 4-12 (2015) - [j4]Amir Yazdanbakhsh
Comprehensive Circuit Failure Prediction for Logic and SRAM Using Virtual Aging. IEEE Micro 35(6): 24-36 (2015) - [c6]Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam:
Exploring the potential of heterogeneous von neumann/dataflow execution models. ISCA 2015: 298-310 - [c5]Chen-Han Ho, Venkatraman Govindaraju, Tony Nowatzki, Ranjini Nagaraju, Zachary Marzec, Preeti Agarwal, Chris Frericks, Ryan Cofell, Karthikeyan Sankaralingam:
Performance evaluation of a DySER FPGA prototype system spanning the compiler, microarchitecture, and hardware implementation. ISPASS 2015: 203-214 - 2014
- [j3]Tony Nowatzki, Michael Sartin-Tarm, Lorenzo De Carli
A Scheduling Framework for Spatial Architectures Across Multiple Constraint-Solving Theories. ACM Trans. Program. Lang. Syst. 37(1): 2:1-2:30 (2014) - 2013
- [b1]Tony Nowatzki, Michael C. Ferris
Optimization and Mathematical Modeling in Computer Architecture. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2013, ISBN 9781627052092, pp. 1-144 - [j2]Michael Sartin-Tarm, Tony Nowatzki, Lorenzo De Carli, Karthikeyan Sankaralingam, Cristian Estan:
Constraint centric scheduling guide. SIGARCH Comput. Archit. News 41(2): 17-21 (2013) - [c4]Venkatraman Govindaraju, Tony Nowatzki, Karthikeyan Sankaralingam:
Breaking SIMD shackles with an exposed flexible microarchitecture and the access execute PDG. PACT 2013: 341-351 - [c3]Tony Nowatzki, Michael Sartin-Tarm, Lorenzo De Carli, Karthikeyan Sankaralingam, Cristian Estan, Behnam Robatmili:
A general constraint-centric scheduling framework for spatial architectures. PLDI 2013: 495-506 - 2012
- [j1]Venkatraman Govindaraju, Chen-Han Ho, Tony Nowatzki, Jatin Chhugani, Nadathur Satish, Karthikeyan Sankaralingam, Changkyu Kim:
DySER: Unifying Functionality and Parallelism Specialization for Energy-Efficient Computing. IEEE Micro 32(5): 38-51 (2012) - [c2]Jesse Benson, Ryan Cofell, Chris Frericks, Venkatraman Govindaraju, Chen-Han Ho, Zachary Marzec, Tony Nowatzki, Karu Sankaralingam:
Prototyping the DySER specialization architecture with OpenSPARC. Hot Chips Symposium 2012: 1-3 - [c1]Jesse Benson, Ryan Cofell, Chris Frericks, Chen-Han Ho, Venkatraman Govindaraju, Tony Nowatzki, Karthikeyan Sankaralingam:
Design, integration and implementation of the DySER hardware accelerator into OpenSPARC. HPCA 2012: 115-126
Coauthor Index
aka: Karu Sankaralingam
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