Axel: a heterogeneous cluster with FPGAs and GPUs
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
State-of-the-art in heterogeneous computing
Scientific Programming
Eliminating the memory bottleneck: an FPGA-based solution for 3d reverse time migration
Proceedings of the 19th ACM/SIGDA international symposium on Field programmable gate arrays
Revisiting finite difference and spectral migration methods on diverse parallel architectures
Computers & Geosciences
Spin glass simulations on the janus architecture: a desperate quest for strong scaling
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
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While recently the focus of architects and programmers has been on multi core, the alternative of processor node plus array oriented accelerator has some significant advantages especially in compute intensive static applications. We propose an acceleration methodology based on FPGA arrays (but, in principle it could be GPU or Cell based). The methodology uses a comprehensive application analysis supported by high performance FPGA hardware. The analysis provides a dataflow graph of the application which is replicated in SIMD for multiple data strips (until limited by the pin bandwidth, then pipelined (MISD) until circuit limited. An oil exploration application shows the possibility of speedup of over 300x over an Intel Xeon.