Proceedings of the 2001 ACM/IEEE Conference on Supercomputing 2001
DOI: 10.1145/582034.582063
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Parallel dedicated hardware devices for heterogeneous computations

Abstract: We describe a design methodology which allows a fast design and prototyping of dedicated hardware devices to be used in heterogeneous computations. The platforms used in heterogeneous computations consist of a general-purpose COTS architecture which hosts a dedicated hardware device; parts of the computation are mapped onto the former, parts onto the latter, in a way to improve the overall computation efficiency. We report the design and the prototyping of a FPGA-based hardware board to be used in the search o… Show more

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Cited by 3 publications
(3 citation statements)
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“…7 shows the average duration of the OREN protocol simulation, assuming that a dedicated hardware is available for the computations. This specialized hardware helps reducing the total time of heterogeneous computations by at least a factor of six [23] when compared to general purpose CPUs (with a processing power similar to that of current CPUs found on mobile devices). As it can be seen from Fig.…”
Section: Optimality Criteriamentioning
confidence: 99%
“…7 shows the average duration of the OREN protocol simulation, assuming that a dedicated hardware is available for the computations. This specialized hardware helps reducing the total time of heterogeneous computations by at least a factor of six [23] when compared to general purpose CPUs (with a processing power similar to that of current CPUs found on mobile devices). As it can be seen from Fig.…”
Section: Optimality Criteriamentioning
confidence: 99%
“…Ylichron (now PLDA Italia) developed a source-to-source C to VHDL compiler toolchain targeting system designers called HCE (Hardware Compiling Environment). The HCE toolchain [29] takes ANSI-C language as input, which describes the hardware architecture with some limitations and extensions. ROCCC 2.0 [23] is a free and open source tool that focuses on FPGAbased code acceleration from a subset of the C language.…”
Section: Application Specific Hardware Accelerator (Asha)mentioning
confidence: 99%
“…To improve HLS based multi-ASHA system performance an intelligent controller is needed that has efficient on-chip Scratchpad Memory and Data Manager, intelligent front-end/back-end Scheduler, fast SSSI link and supports programming model that manages memory accesses in software so that hardware can best utilize them. A PMC based controller with the above mentioned features is integrated with an HLS HCE [29] tool called Advanced Multi-accelerator Controller (AMC). AMC permits HLS programmers to write ASHA with data access patterns that eliminate the requirement of extra core for data transfer and data management.…”
Section: Amc: Advanced Multi-accelerator Controllermentioning
confidence: 99%