A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarking suites which are either insufficient or outdated.
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Updated
Mar 6, 2024 - C
A benchmarking suite for heterogeneous systems. The primary goal of this project is to improve and update aspects of existing benchmarking suites which are either insufficient or outdated.
Simulation and optimization of extended L2 cache architectures in GPUs using GPGPU-Sim to improve CUDA workload performance and analyze area tradeoff - CS 6501 CPU/GPU Memory Systems @ UVA Spring '25
Optimization of K-means algorithm targetting a CPU-(2x)GPU-FPGA system with CUDA, OpenCL and OpenMP.
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