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goal of this project is to improve and update aspects of existing benchmarking suites which are either insufficient or outdated.
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Jan 30, 2026 - C
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rodinia-benchmark-suite
Here are 5 public repositories matching this topic...
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Oct 20, 2020 - C
Optimization of K-means algorithm targetting a CPU-(2x)GPU-FPGA system with CUDA, OpenCL and OpenMP.
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Oct 7, 2018 - C
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
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Dec 11, 2025
🚀 Optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels using reinforcement learning, surpassing cuBLAS and other benchmarks with superior performance.
reinforcement-learning gpu cuda cublas nvidia scientific-computing matrix-multiplication cuda-kernels gpu-computing numerical-methods cacti gpu-programming cuda-programming rodinia-benchmark-suite gpgpu-sim large-language-models
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Apr 21, 2026 - Cuda
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