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Medical imaging using CUDA

Thomas Kovac

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Tags: CUDA, Image registration, Medicine, MRI, nVidia, Thesis

October 25, 2014 by hgpu

CUVLE: Variable-Length Encoding on CUDA

Jose M Gonzalez-Linares, Antonio Fuentes-Alventosa, Juan Gomez-Luna, Nicolas Guil

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti

October 25, 2014 by hgpu

cufftShift: High Performance CUDA-accelerated FFT-shift Library

Marwan Abdellah

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 580, Package

October 24, 2014 by hgpu

Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases

Piotr Przymus

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Tags: Algorithms, Compression, Computer science, CUDA, Data mining, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, Tesla C2070, Tesla M2070, Thesis

October 24, 2014 by hgpu

Gaussian Process Models with Parallelization and GPU acceleration

Zhenwen Dai, Andreas Damianou, James Hensman, Neil Lawrence

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Tags: Algorithms, Computer science, Machine learning, nVidia, nVidia GeForce GTX 480

October 24, 2014 by hgpu

Monitoring Large-scale Microblog on GPUs

Yunpeng Cao

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9400 GT, String matchning

October 24, 2014 by hgpu

Improved Integral Histogram Algorithm for Big Sized Images in CUDA Environment

Chang Won Lee, Tae-Young Choe

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 670

October 24, 2014 by hgpu

Introducing CURRENNT – the Munich open-source CUDA RecurREnt Neural Network Toolkit

Felix Weninger, Johannes Bergmann, Bjorn Schuller

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 560, Package, Speech recognition

October 22, 2014 by hgpu

Optimization Techniques for Mapping Algorithms and Applications onto CUDA GPU Platforms and CPU-GPU Heterogeneous Platforms

Jing Wu

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Poisson equation, Tesla C1060, Tesla C2050, Thesis

October 22, 2014 by hgpu

Performance Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Andreas Pieper, Andreas Alvermann, Holger Fehske

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Tags: Computational Engineering, CUDA, Finance, Mesoscale and Nanoscale Physics, nVidia, Tesla K20

October 22, 2014 by hgpu

A Performance Comparison of Sort and Scan Libraries for GPUs

Bruce Merry

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Tags: Algorithms, AMD Radeon R9 270, ATI, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Sorting, Tesla K40

October 20, 2014 by hgpu

Massively parallel read mapping on GPUs with the q-group index and PEANUT

Johannes Koster, Sven Rahmann

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Tags: Algorithms, Bioinformatics, Biology, nVidia, nVidia GeForce GTX 780, OpenCL

October 20, 2014 by hgpu

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Medical imaging using CUDA

CUVLE: Variable-Length Encoding on CUDA

cufftShift: High Performance CUDA-accelerated FFT-shift Library

Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases

Gaussian Process Models with Parallelization and GPU acceleration

Monitoring Large-scale Microblog on GPUs

Improved Integral Histogram Algorithm for Big Sized Images in CUDA Environment

Introducing CURRENNT – the Munich open-source CUDA RecurREnt Neural Network Toolkit

Optimization Techniques for Mapping Algorithms and Applications onto CUDA GPU Platforms and CPU-GPU Heterogeneous Platforms

Performance Engineering of the Kernel Polynomial Method on Large-Scale CPU-GPU Systems

A Performance Comparison of Sort and Scan Libraries for GPUs

Massively parallel read mapping on GPUs with the q-group index and PEANUT

Recent source codes

Introduction to Computer Vision

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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