high performance computing on graphics processing units: hgpu.org

Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Titan RTX, Package, Rendering, Robotics

February 12, 2023 by hgpu

Evaluation of Rust for GPGPU high-performance computing

Viktor Franzén, Carl Östling

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Tags: Computer science, CUDA, HPC, nVidia, nVidia GeForce GTX 1660 Ti, nVidia GeForce RTX 2080 Ti, Package, PTX, Thesis

February 5, 2023 by hgpu

Optimization of massive data applications on heterogeneous architectures

José Carlos Romero Moreno

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Tags: Computer science, FPGA, Heterogeneous systems, Intel, Intel UHD 630, OpenCL, Package, SYCL, Thesis

February 5, 2023 by hgpu

CMLCompiler: A Unified Compiler for Classical Machine Learning

Xu Wen, Wanling Gao, Anzheng Li, Lei Wang, Zihan Jiang, Jianfeng Zhan

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Tags: Compilers, Computer science, CUDA, Deep learning, Machine learning, nVidia, nVidia Titan RTX

February 5, 2023 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

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high performance computing on graphics processing units: hgpu.org

Auto-SpMV: Automated Optimizing SpMV Kernels on GPU

Orca: FSS-based Secure Training with GPUs

HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis

GPU Offloading in ExaHyPE Through C++ Standard Algorithms

A Survey on Optimization Techniques for Edge Artificial Intelligence (AI)

EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs

TLP: A Deep Learning-based Cost Model for Tensor Program Tuning

Improving Performance of Hardware Accelerators by Optimizing Data Movement: A Bioinformatics Case Study

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

Evaluation of Rust for GPGPU high-performance computing

Optimization of massive data applications on heterogeneous architectures

CMLCompiler: A Unified Compiler for Classical Machine Learning

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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