high performance computing on graphics processing units: hgpu.org

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GPU-Based Nonlinear Ray Tracing

Daniel Weiskopf, Tobias Schafhitzel, Thomas Ertl

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Tags: 3D Graphics and Realism, ATI, ATI Radeon 9700, Computer science, DirectX, Image generation

January 11, 2011 by hgpu

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

Andrew W. Dowsey, Michael J. Dunn, Guang-Zhong Z. Yang

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Tags: Bioinformatics, Biology, Cg, Image alignment, nVidia, nVidia GeForce 6800 Ultra, Package

January 11, 2011 by hgpu

Exploring new architectures in accelerating CFD for Air Force applications

Jack Dongarra, Shirley Moore, Gregory Peterson, Stanimire Tomov

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Tags: Algorithms, Fluid dynamics, FPGA, nVidia, nVidia Quadro FX 5600, Tesla T10P

January 11, 2011 by hgpu

An events based algorithm for distributing concurrent tasks on multi-core architectures

David W. Holmes, John R. Williams, Peter Tilke

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Tags: Algorithms, Computer science, Performance, Task scheduling

January 11, 2011 by hgpu

Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method

Aparna Chandramowlishwarany, Kamesh Madduri, Richard Vuduc

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Tags: Computer science, Fast multipole method, Optimization, Performance

January 11, 2011 by hgpu

Efficient gradient-domain compositing using quadtrees

Aseem Agarwala

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Tags: Algorithms, Filtering, Image processing

January 11, 2011 by hgpu

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

N. Sanna, I. Baccarelli, G. Morelli

Tags: Biology, Chemistry, CUDA, Molecular modeling, nVidia

January 11, 2011 by hgpu

iNFAnt: NFA pattern matching on GPGPU devices

Niccolo' Cascarano, Pierluigi Rolando, Fulvio Risso, Riccardo Sisto

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Tags: Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260, String matching

January 11, 2011 by hgpu

Accelerating linpack with CUDA on heterogenous clusters

Massimiliano Fatica

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia

January 11, 2011 by hgpu

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

Ros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen-mei W. Hwu

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Tags: Compilers, Computer science, CUDA, FPGA, High-level Languages

January 11, 2011 by hgpu

CUDA-based real time surgery simulation

Youquan Liu, Suvranu De

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GTX, Surgical simulation

January 11, 2011 by hgpu

Fast binding site mapping using GPUs and CUDA

Bharat Sukhwani, Martin C. Herbordt

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060

January 11, 2011 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-Based Nonlinear Ray Tracing

Automated image alignment for 2D gel electrophoresis in a high-throughput proteomics pipeline

Exploring new architectures in accelerating CFD for Air Force applications

An events based algorithm for distributing concurrent tasks on multi-core architectures

Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method

Efficient gradient-domain compositing using quadtrees

SCELib3.0: The new revision of SCELib, the parallel computational library of molecular properties in the Single Center Approach

iNFAnt: NFA pattern matching on GPGPU devices

Accelerating linpack with CUDA on heterogenous clusters

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

CUDA-based real time surgery simulation

Fast binding site mapping using GPUs and CUDA

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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