high performance computing on graphics processing units: hgpu.org

Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Lujan, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber

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Tags: Algorithms, ARM, Benchmarking, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance

October 10, 2014 by hgpu

Microarchitectural Performance Characterization of Irregular GPU Kernels

Molly A. O'Neil, Martin Burtscher

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance

October 3, 2014 by hgpu

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Lidia Kuan, Joao Neves, Frederico Pratas, Pedro Tomas, Leonel Sousa

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenACC, Performance, Tesla K20

September 28, 2014 by hgpu

Automated Software Testing of Memory Performance in Embedded GPUs

Sudipta Chattopadhyay, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Embedded high-performance computing, GPGPU-sim, Memory, nVidia, Performance

September 19, 2014 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

A Self-Optimizing Framework for Developing Metrology Software on Massive Parallel Processor Architectures

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

The Implementation of a Real-Time Polyphase Filter

Locality-Aware Mapping of Nested Parallel Patterns on GPUs

Code Optimization on Kepler GPUs and Xeon Phi

Profiling of Data-Parallel Processors

Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs

GPGPU Acceleration for Skeletal Animation-comparing OpenCL with CUDA and GLSL

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Microarchitectural Performance Characterization of Irregular GPU Kernels

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Automated Software Testing of Memory Performance in Embedded GPUs

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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