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TEDI: efficient shortest path query answering on graphs

Fang Wei

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Tags: Algorithms, Computer science, Networks, Path problems, Search

January 20, 2011 by hgpu

Practical and Robust Stenciled Shadow Volumes for Hardware-Accelerated Rendering

Cass Everitt, Mark J. Kilgard

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Tags: Computer science, Graphics, nVidia, nVidia GeForce 3, nVidia GeForce 4, OpenGL, Rendering

January 20, 2011 by hgpu

Accelerating Quadrature Methods for Option Valuation

Anson H. T. Tse, David B. Thomas, Wayne Luk

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Tags: CUDA, Finance, nVidia, nVidia GeForce 8600 GT, Tesla C1060

January 19, 2011 by hgpu

Implicit Parallel Time Integrators

Andrew Christlieb, Benjamin Ong

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Tags: Algorithms, Computer science, Programming techniques

January 19, 2011 by hgpu

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Ananth Nallamuthu, Melissa C. Smith, Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam

Tags: Bioinformatics, Biology, FPGA, Molecular dynamics

January 19, 2011 by hgpu

Towards microsecond biological molecular dynamics simulations on hybrid processors

Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam, Paul S. Crozier

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Scott S. Hampton, Sadaf R. Alam, Paul S. Crozier, Pratul K. Agarwal

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Accelerating 3D Fourier migration with graphics processing units

Jin H. Zhang, Shu Q. Wang, Zhen X. Yao

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Tags: CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, nVidia GeForce GTX 280, Seismology

January 19, 2011 by hgpu

Introduction to the Report “Interlanguages and Synchronic Models of Computation.”

Alexander Victor Berka

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Tags: Computer science, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Space and the Synchronic A-Ram

Alex V Berka

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Tags: Computer science, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Interlanguages and synchronic models of computation

Alexander Victor Berka

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Tags: Computer science, FPGA, High-level Languages, Programming Languages

January 19, 2011 by hgpu

Relational query coprocessing on graphics processors

Bingsheng He, Mian Lu, Ke Yang, Rui Fang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX, Package, Performance

January 19, 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

TEDI: efficient shortest path query answering on graphs

Practical and Robust Stenciled Shadow Volumes for Hardware-Accelerated Rendering

Accelerating Quadrature Methods for Option Valuation

Implicit Parallel Time Integrators

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Towards microsecond biological molecular dynamics simulations on hybrid processors

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Accelerating 3D Fourier migration with graphics processing units

Introduction to the Report “Interlanguages and Synchronic Models of Computation.”

Space and the Synchronic A-Ram

Interlanguages and synchronic models of computation

Relational query coprocessing on graphics processors

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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