high performance computing on graphics processing units: hgpu.org

Chayanon (Namo)Wichitrnithed, Woo-Sun-Yang, Yun (Helen)He, Brad Richardson, Koichi Sakaguchi, Manuel Arenaz, William I. Gustafson Jr., Jacob Shpund, Ulises Costi Blanco, Alvaro Goldar Dieste

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Tags: Computer science, CUDA, Fortran, MPI, nVidia, nVidia A100, OpenMP, Optimization, Package, Weather prediction

September 15, 2024 by hgpu

Optimization of Large-Scale Sparse Matrix-Vector Multiplication on Multi-GPU Systems

Jianhua Gao, Weixing Ji, Yizhuo Wang

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Optimization, Sparse matrix, Tesla V100

July 14, 2024 by hgpu

Performance portability analysis of SYCL with a classical CG on CPU, GPU, and FPGA

Julian Franquinet

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Tags: Benchmarking, Computer science, CUDA, FPGA, nVidia, nVidia Quadro GP100, Optimization, Performance, performance portability, SYCL

October 22, 2023 by hgpu

Managing, Profiling, and Optimizing Heterogeneous GPU Workloads

James Gleeson

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Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTX 480, nVidia GeForce RTX 2080 Ti, nVidia Grid K1, Optimization, Package, Performance, Tesla V100, Thesis, Virtualization

July 2, 2023 by hgpu

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

Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, Edmond Prakash, Chaminda Hewage

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Tags: Artificial intelligence, Computer science, Energy-efficient computing, Optimization, survey

February 12, 2023 by hgpu

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

Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang

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Tags: Computer science, CUDA, Deep learning, nVidia, Optimization, Package, Tesla K80, Tesla T4

February 12, 2023 by hgpu

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

Ilargi: a GPU Compatible Factorized ML Model Training Framework

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

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high performance computing on graphics processing units: hgpu.org

Adaptive Optimization Techniques for High-Performance Computing

Finding Missed Code Size Optimizations in Compilers using LLMs

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers

Challenging Portability Paradigms: FPGA Acceleration Using SYCL and OpenCL

DNA sequence alignment: An assignment for OpenMP, MPI, and CUDA/OpenCL

Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee

Optimization of Large-Scale Sparse Matrix-Vector Multiplication on Multi-GPU Systems

Performance portability analysis of SYCL with a classical CG on CPU, GPU, and FPGA

Managing, Profiling, and Optimizing Heterogeneous GPU Workloads

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

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

Recent source codes

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Ilargi: a GPU Compatible Factorized ML Model Training Framework

MPI-CorrBench 2.0.0

ViVid Project

VFLog: vertical + gpu + free join + datalog

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

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