high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Maestro: Data Orchestration and Tuning for OpenCL Devices

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter

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Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Tesla C1060, Tesla S1070

August 18, 2011 by hgpu

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

Roger Ferrer, Judit Planas, Pieter Bellens, Alejandro Duran, Marc Gonzalez, Xavier Martorell, Rosa M. Badia, Eduard Ayguade, Jesus Labarta

Tags: Cell processor, Computer science, CUDA, GPU cluster, nVidia, OpenCL, OpenMP, Programming techniques

August 18, 2011 by hgpu

Analyzing program flow within a many-kernel OpenCL application

Perhaad Mistry, Chris Gregg, Norman Rubin, David Kaeli, Kim Hazelwood

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Tags: ATI, ATI Radeon HD 5870, Computer science, Computer vision, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

August 18, 2011 by hgpu

Near real-time Fast Bilateral Stereo on the GPU

Stefano Mattoccia, Marco Viti, Florian Ries

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Optimization, Tesla C2070

August 17, 2011 by hgpu

Fast boosting trees for classification, pose detection, and boundary detection on a GPU

Neil Birkbeck, Michal Sofka, S. Kevin Zhou

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Tags: Algorithms, CUDA, Medicine, MRI, nVidia, nVidia GeForce GTX 480, Ultrasound

August 17, 2011 by hgpu

nGFSIM: A GPU-based fault simulator for 1-to-n detection and its applications

Huawei Li, Dawen Xu, Yinhe Han, Kwang-Ting Cheng, Xiaowei Li

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Tags: Computer science, CUDA, Fault simulation, nVidia, nVidia GeForce 9800 GTX

August 17, 2011 by hgpu

GPU accelerated FDTD solver and its application in MRI

J. Chi, F. Liu, J. Jin, D.G. Mason, S. Crozier

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, Magnetic resonance imaging, Medicine, MRI, nVidia, Tesla C1060

August 17, 2011 by hgpu

Realtime Ray Tracing on GPU with BVH-based Packet Traversal

Johannes Gunther, Stefan Popov, Hans-Peter Seidel, Philipp Slusallek

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, Raytracing

August 17, 2011 by hgpu

CUKNN: A parallel implementation of K-nearest neighbor on CUDA-enabled GPU

Shenshen Liang, Cheng Wang, Ying Liu, Liheng Jian

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Tags: Computer science, CUDA, Nearest neighbour, nVidia, Optimization, Tesla C1060

August 17, 2011 by hgpu

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Ali Emami, Abbas Bigdeli, Adam Postula

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Tags: Computer science, Computer vision, CUDA, FFT, nVidia, nVidia GeForce GTX 285, OpenCL

August 17, 2011 by hgpu

Regular Expression Matching and Operational Semantics

Asiri Rathnayake, Hayo Thielecke

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Source codes

Tags: Computer science, CUDA, Logic in Computer Science, nVidia, Package

August 17, 2011 by hgpu

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Ping Li, Anshumali Shrivastava, Christian Konig

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Tags: Algorithms, Computer science, Machine learning

August 16, 2011 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

PortLBM: A Portable Lattice Boltzmann Tool Leveraging SYCL on AMD, NVIDIA, and Intel GPUs

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

Programming

Maestro: Data Orchestration and Tuning for OpenCL Devices

Optimizing the exploitation of multicore processors and GPUs with OpenMP and OpenCL

Analyzing program flow within a many-kernel OpenCL application

Near real-time Fast Bilateral Stereo on the GPU

Fast boosting trees for classification, pose detection, and boundary detection on a GPU

nGFSIM: A GPU-based fault simulator for 1-to-n detection and its applications

GPU accelerated FDTD solver and its application in MRI

Realtime Ray Tracing on GPU with BVH-based Packet Traversal

CUKNN: A parallel implementation of K-nearest neighbor on CUDA-enabled GPU

High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU

Regular Expression Matching and Operational Semantics

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Recent source codes

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Most viewed papers (last 30 days)