VirtualRC: a virtual FPGA platform for applications and tools portability
Proceedings of the ACM/SIGDA international symposium on Field Programmable Gate Arrays
An approach for performance estimation of hybrid systems with FPGAs and GPUs as coprocessors
ARCS'12 Proceedings of the 25th international conference on Architecture of Computing Systems
The "Chimera": an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform
International Journal of Reconfigurable Computing - Special issue on High-Performance Reconfigurable Computing
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
On a wideband fast fourier transform for a radio telescope
ACM SIGARCH Computer Architecture News - ACM SIGARCH Computer Architecture News/HEART '12
Parallel architectures for the kNN classifier -- design of soft IP cores and FPGA implementations
ACM Transactions on Embedded Computing Systems (TECS) - Special issue on application-specific processors
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Heterogeneous or co-processor architectures are becoming an important component of high productivity computing systems (HPCS). In this work the performance of a GPU based HPCS is compared with the performance of a commercially available FPGA based HPC. Contrary to previous approaches that focussed on specific examples, a broader analysis is performed by considering processes at an architectural level. A set of benchmarks is employed that use different process architectures in order to exploit the benefits of each technology. These include the asynchronous pipelines common to "map" tasks, a partially synchronous tree common to "reduce" tasks and a fully synchronous, fully connected mesh. We show that the GPU is more productive than the FPGA architecture for most of the benchmarks and conclude that FPGA-based HPCS is being marginalised by GPUs.