high performance computing on graphics processing units: hgpu.org

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

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Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization

June 17, 2011 by hgpu

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Faial: finds bugs in CUDA kernels

Sound and Partially-Complete Static Analysis of Data-Races in GPU Programs

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high performance computing on graphics processing units: hgpu.org

Optimized GPU Framework for Ultrasound Strain Imaging

Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm

An algorithm for efficient computation of spatial impulse response on the GPU with application in ultrasound simulation

Efficiently GPU-accelerating long kernel convolutions in 3-D DIRECT TOF PET reconstruction via a kernel decomposition scheme

Fast implementation of fully iterative scatter corrected OSEM for HRRT using GPU

GPU accelerated high intensity ultrasound acoustical power computation

Optimized GPU histograms for multi-modal registration

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

GPU-based motion correction of contrast-enhanced liver MRI scans: An OpenCL implementation

GPU accelerated rotation-based emission tomography reconstruction

Visualisation of Physical Lung Simulation: an Interactive Application to Assist Physicians

Interactive Histology of Large-Scale Biomedical Image Stacks

Recent source codes

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

SHMT: The Simultaneous and Heterogenous Multithreading project

Mixed-precision finite element kernels

EnergyUCB-Bandit

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Faial: finds bugs in CUDA kernels

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