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Performance and Programming Environment of a Combined GPU/FPGA Desktop.

, , , , , and . High Performance Computing Workshop (2), volume 24 of Advances in Parallel Computing, page 177-193. IOS Press, (2012)

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Benchmarks Based on Anti-Parallel Patterns for the Evaluation of GPUs., and . PARCO, volume 22 of Advances in Parallel Computing, page 499-506. IOS Press, (2011)Performance and Programming Environment of a Combined GPU/FPGA Desktop., , , , , and . High Performance Computing Workshop (2), volume 24 of Advances in Parallel Computing, page 177-193. IOS Press, (2012)Heterogeneous acceleration of volumetric JPEG 2000 using OpenCL., , , and . Int. J. High Perform. Comput. Appl., 31 (3): 229-245 (2017)Performance and toolchain of a combined GPU/FPGA desktop (abstract only)., , , , , and . FPGA, page 274. ACM, (2013)Analysis of the analytical performance models for GPUs and extracting the underlying Pipeline model., , and . J. Parallel Distributed Comput., (March 2023)Microbenchmarks for GPU Characteristics: The Occupancy Roofline and the Pipeline Model., , and . PDP, page 456-463. IEEE Computer Society, (2016)Heterogeneous Acceleration of Volumetric JPEG 2000., , , and . PDP, page 1-8. IEEE Computer Society, (2015)Heterogeneous Cloud Computing: Design Methodology to Combine Hardware Accelerators., , , , , and . Cloudtech, page 1-8. IEEE, (2018)Comparing and combining GPU and FPGA accelerators in an image processing context., , , , , and . FPL, page 1-4. IEEE, (2013)The Pipeline Performance Model: A Generic Executable Performance Model for GPUs., and . PDP, page 260-265. IEEE, (2019)