Computer architecture (2nd ed.): a quantitative approach
Computer architecture (2nd ed.): a quantitative approach
Co-array Fortran for parallel programming
ACM SIGPLAN Fortran Forum
International Journal of Parallel Programming
An Overview of Reflective Memory Systems
IEEE Concurrency
Memory Channel Network for PCI
IEEE Micro
Software Support for Virtual Memory-Mapped Communication
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Protected, user-level DMA for the SHRIMP network interface
HPCA '96 Proceedings of the 2nd IEEE Symposium on High-Performance Computer Architecture
Evaluation of the Raw Microprocessor: An Exposed-Wire-Delay Architecture for ILP and Streams
Proceedings of the 31st annual international symposium on Computer architecture
Comparing memory systems for chip multiprocessors
Proceedings of the 34th annual international symposium on Computer architecture
The locality-aware adaptive cache coherence protocol
Proceedings of the 40th Annual International Symposium on Computer Architecture
Efficient programming paradigm for video streaming processing on TILE64 platform
The Journal of Supercomputing
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This paper presents remote store programming (RSP), a programming paradigm which combines usability and efficiency through the exploitation of a simple hardware mechanism, the remote store, which can easily be added to existing multicores. The RSP model and its hardware implementation trade a relatively high store latency for a low load latency because loads are more common than stores, and it is easier to tolerate store latency than load latency. This paper demonstrates the performance advantages of remote store programming by comparing it to cache-coherent shared memory (CCSM) for several important embedded benchmarks using the TILEPro64 processor. RSP is shown to be faster than CCSM for all eight benchmarks using 64 cores. For five of the eight benchmarks, RSP is shown to be more than 1.5 × faster than CCSM. For a 2D FFT implemented on 64 cores, RSP is over 3 × faster than CCSM. RSP's features, performance, and hardware simplicity make it well suited to the embedded processing domain.