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Hadoop+Aparapi: Making heterogenous MapReduce programming easier

Yu Lin, Semih Okur, Cosmin Radoi

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Tags: Algorithms, Cloud, Computer science, Java, MapReduce, OpenCL

April 10, 2012 by hgpu

An innovative compilation tool-chain for embedded multi-core architectures

M. Torquati, M. Vanneschi, M. Amini, S. Guelton, R. Keryell, V. Lanore, F.-X. Pasquier, M. Barreteau, R. Barrere, T. Petrisor, E. Lenormand, C. Cantini, F. De Stefani

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Tags: Algorithms, Code generation, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050

April 10, 2012 by hgpu

New Basic Linear Algebra Methods for Simulation on GPUs

Jian Shi, Yiwei Zhang, Blake langland, Jijun Tang, Roger Dougal

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla T10

April 9, 2012 by hgpu

A Study of Productivity and Performance of Modern Vector Processors

Paul Springer

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, OpenCL, Performance, Thesis

April 9, 2012 by hgpu

Tiled Shading

Ola Olsson, Ulf Assarsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenGL, Package

April 9, 2012 by hgpu

A GPU-Based Accelerator for Chinese Word Segmentation

Xiwu Gu, Ruixuan Li, Kunmei Wen, Bei Peng, Weijun Xiao

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Text mining

April 9, 2012 by hgpu

Efficient computational noise in GLSL

Ian McEwan, David Sheets, Stefan Gustavson, Mark Richardson

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3650, ATI Radeon HD 4850, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 7600 GS, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenGL, Package

April 9, 2012 by hgpu

A Scalable Framework for Heterogeneous GPU-Based Clusters

Fengguang Song, Jack Dongarra, Stanimire Tomov

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Tags: Algorithms, Computer science, CUDA, Factorization, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, Tesla M2070

April 7, 2012 by hgpu

Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Junjie Lai, Andre Seznec

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 580, Performance

April 7, 2012 by hgpu

Robust Computational Tools for Multiple Testing With Genetic Association Studies

William L. Welbourn Jr.

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Thesis

April 7, 2012 by hgpu

GPU-based Line Probing Techniques for Mikami Routing Algorithm

Chiu-Yi Chan, Jiun-Li Lin, Lung-Sheng Chien, Tsung-Yi Ho, Yi-Yu Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

April 7, 2012 by hgpu

OpenCL framework for a CPU, GPU, and FPGA Platform

Taneem Ahmed

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Tags: ATI, ATI Radeon HD 5450, Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

April 6, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

An innovative compilation tool-chain for embedded multi-core architectures

New Basic Linear Algebra Methods for Simulation on GPUs

A Study of Productivity and Performance of Modern Vector Processors

Tiled Shading

A GPU-Based Accelerator for Chinese Word Segmentation

Efficient computational noise in GLSL

A Scalable Framework for Heterogeneous GPU-Based Clusters

Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Robust Computational Tools for Multiple Testing With Genetic Association Studies

GPU-based Line Probing Techniques for Mikami Routing Algorithm

OpenCL framework for a CPU, GPU, and FPGA Platform

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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