high performance computing on graphics processing units: hgpu.org

hgpu.org » Package

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling

Ogier Maitre, Nicolas Lachiche and Pierre Collet

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package, Poster

January 21, 2011 by hgpu

GP on SPMD parallel graphics hardware for mega Bioinformatics data mining

William B. Langdon, Andrew P. Harrison

View

Download (PDF)

Source codes

Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

January 21, 2011 by hgpu

Evolving GeneChip correlation predictors on parallel graphics hardware

William B. Langdon

View

Download (PDF)

Source codes

Tags: Bioinformatics, Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

January 21, 2011 by hgpu

A CUDA SIMT interpreter for genetic programming. Revised

William B. Langdon

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Genetic programming, nVidia, Package, Tesla T10P

January 21, 2011 by hgpu

A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 21, 2011 by hgpu

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

William B. Langdon

View

Download (PDF)

Source codes

Tags: Computer science, Genetic programming, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, RapidMind

January 21, 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

View

Download (PDF)

Source codes

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

January 19, 2011 by hgpu

Message passing for GPGPU clusters: CudaMPI

Orion S. Lawlor

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 280, OpenMPI, Package

January 18, 2011 by hgpu

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Jens Breitbart, Gaurav Khanna

View

Download (PDF)

Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 280, Package, Physics

January 18, 2011 by hgpu

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

Peter H. Colberg, Felix Hofling

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, Physics, Soft Condensed Matter

January 18, 2011 by hgpu

Solving dense linear systems on platforms with multiple hardware accelerators

Enrique S. Quintana-Orti, Francisco D. Igual, Enrique S. Quintana-Orti, Robert A. van de Geijn

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, GPU cluster, Linear Algebra, nVidia, Package, Task scheduling, Tesla S870

January 17, 2011 by hgpu

Using generalized ensemble simulations and Markov state models to identify conformational states

Gregory R. Bowman, Xuhui Huang, Vijay S. Pande

View

Download (PDF)

Source codes

Tags: CUDA, Molecular dynamics, Molecular modeling, nVidia, Package, Physics, Thermodynamics

January 16, 2011 by hgpu

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

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

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling

GP on SPMD parallel graphics hardware for mega Bioinformatics data mining

Evolving GeneChip correlation predictors on parallel graphics hardware

A CUDA SIMT interpreter for genetic programming. Revised

A Many Threaded CUDA Interpreter for Genetic Programming

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units

Relational query coprocessing on graphics processors

Message passing for GPGPU clusters: CudaMPI

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

Solving dense linear systems on platforms with multiple hardware accelerators

Using generalized ensemble simulations and Markov state models to identify conformational states

Recent source codes

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

nvsass-disassembler

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

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

Most viewed papers (last 30 days)