Kanoun et al., 2014 - Google Patents
Low power and scalable many-core architecture for big-data stream computingKanoun et al., 2014
View PDF- Document ID
- 17687368502061991522
- Author
- Kanoun K
- Ruggiero M
- Atienza D
- Van Der Schaar M
- Publication year
- Publication venue
- 2014 IEEE Computer Society Annual Symposium on VLSI
External Links
Snippet
In the last years the process of examining large amounts of different types of data, or Big- Data, in an effort to uncover hidden patterns or unknown correlations has become a major need in our society. In this context, stream mining applications are now widely used in …
- 230000015654 memory 0 abstract description 107
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/30—Arrangements for executing machine-instructions, e.g. instruction decode
- G06F9/38—Concurrent instruction execution, e.g. pipeline, look ahead
- G06F9/3885—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units
- G06F9/3889—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled by multiple instructions, e.g. MIMD, decoupled access or execute
- G06F9/3891—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled by multiple instructions, e.g. MIMD, decoupled access or execute organised in groups of units sharing resources, e.g. clusters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/30—Arrangements for executing machine-instructions, e.g. instruction decode
- G06F9/38—Concurrent instruction execution, e.g. pipeline, look ahead
- G06F9/3885—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units
- G06F9/3893—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled in tandem, e.g. multiplier-accumulator
- G06F9/3895—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled in tandem, e.g. multiplier-accumulator for complex operations, e.g. multidimensional or interleaved address generators, macros
- G06F9/3897—Concurrent instruction execution, e.g. pipeline, look ahead using a plurality of independent parallel functional units controlled in tandem, e.g. multiplier-accumulator for complex operations, e.g. multidimensional or interleaved address generators, macros with adaptable data path
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/30—Arrangements for executing machine-instructions, e.g. instruction decode
- G06F9/38—Concurrent instruction execution, e.g. pipeline, look ahead
- G06F9/3836—Instruction issuing, e.g. dynamic instruction scheduling, out of order instruction execution
- G06F9/3851—Instruction issuing, e.g. dynamic instruction scheduling, out of order instruction execution from multiple instruction streams, e.g. multistreaming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Programme initiating; Programme switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/30—Arrangements for executing machine-instructions, e.g. instruction decode
- G06F9/30003—Arrangements for executing specific machine instructions
- G06F9/30007—Arrangements for executing specific machine instructions to perform operations on data operands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored programme computers
- G06F15/78—Architectures of general purpose stored programme computers comprising a single central processing unit
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored programme computers
- G06F15/80—Architectures of general purpose stored programme computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
- G06F15/8007—Architectures of general purpose stored programme computers comprising an array of processing units with common control, e.g. single instruction multiple data processors single instruction multiple data [SIMD] multiprocessors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
- G06F15/163—Interprocessor communication
- G06F15/173—Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/44—Arrangements for executing specific programmes
- G06F9/455—Emulation; Software simulation, i.e. virtualisation or emulation of application or operating system execution engines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformations of program code
- G06F8/41—Compilation
- G06F8/45—Exploiting coarse grain parallelism in compilation, i.e. parallelism between groups of instructions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F1/00—Details of data-processing equipment not covered by groups G06F3/00 - G06F13/00, e.g. cooling, packaging or power supply specially adapted for computer application
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power Management, i.e. event-based initiation of power-saving mode
- G06F1/3234—Action, measure or step performed to reduce power consumption
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Liu et al. | A survey of coarse-grained reconfigurable architecture and design: Taxonomy, challenges, and applications | |
Yazdanpanah et al. | Hybrid dataflow/von-Neumann architectures | |
Parashar et al. | Triggered instructions: A control paradigm for spatially-programmed architectures | |
Zhang et al. | Sara: Scaling a reconfigurable dataflow accelerator | |
Kanoun et al. | Low power and scalable many-core architecture for big-data stream computing | |
CN111868702A (en) | Apparatus, method and system for remote memory access in a configurable spatial accelerator | |
US20080250227A1 (en) | General Purpose Multiprocessor Programming Apparatus And Method | |
Parashar et al. | Efficient spatial processing element control via triggered instructions | |
US20200174707A1 (en) | Fifo filling logic for tensor calculation | |
CN112148647A (en) | Apparatus, method and system for memory interface circuit arbitration | |
Sun et al. | Synthesis of application-specific heterogeneous multiprocessor architectures using extensible processors | |
Wang et al. | SOLAR: Services-oriented deep learning architectures-deep learning as a service | |
Poss et al. | Apple-CORE: Microgrids of SVP Cores--Flexible, General-Purpose, Fine-Grained Hardware Concurrency Management | |
Kim et al. | Using intra-core loop-task accelerators to improve the productivity and performance of task-based parallel programs | |
Krashinsky | Vector-thread architecture and implementation | |
Zhang et al. | ZIPPER: Exploiting tile-and operator-level parallelism for general and scalable graph neural network acceleration | |
Dey et al. | Embedded support vector machine: Architectural enhancements and evaluation | |
Ta et al. | Big. VLITTLE: On-demand data-parallel acceleration for mobile systems on chip | |
Raskar et al. | Position paper: Extending codelet model for dataflow software pipelining using software-hardware co-design | |
Heulot | Runtime multicore scheduling techniques for dispatching parameterized signal and vision dataflow applications on heterogeneous MPSoCs | |
Ye et al. | Applying CNN on a scientific application accelerator based on dataflow architecture | |
US20230385125A1 (en) | Graph partitioning and implementation of large models on tensor streaming processors | |
Yang et al. | Back to Homogeneous Computing: A Tightly-Coupled Neuromorphic Processor With Neuromorphic ISA | |
Raskar | Dataflow software pipelining for codelet model using hardware-software co-design | |
Ndu | Boosting single thread performance in mobile processors using reconfigurable acceleration |