high performance computing on graphics processing units: hgpu.org

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Evolving GeneChip correlation predictors on parallel graphics hardware

William B. Langdon

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

January 21, 2011 by hgpu

Accelerating Genetic Programming through Graphics Processing Units

Wolfgang Banzhaf, Simon Harding, William B. Langdon and Garnett Wilson

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Tags: Computer science, Genetic programming, HLSL, nVidia, nVidia GeForce 8800 GTX, RapidMind, Xbox 360

January 21, 2011 by hgpu

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

William B. Langdon

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

January 21, 2011 by hgpu

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

January 20, 2011 by hgpu

SPRAT: Runtime processor selection for energy-aware computing

Hiroyuki Takizawa, Katsuto Sato, Hiroaki Kobayashi

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Tags: Computer science, CUDA, Energy-efficient computing, High-level Languages, nVidia, nVidia GeForce 8800 GTX

January 20, 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

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

Peter H. Colberg, Felix Hofling

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

January 18, 2011 by hgpu

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu,

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

January 17, 2011 by hgpu

Evaluating GPUs for network packet signature matching

Randy Smith, Neelam Goyal, Justin Ormont, Karthikeyan Sankaralingam, Cristian Estan

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Tags: Computer science, CUDA, Networking and Internet Architecture, Networks, nVidia, nVidia GeForce 8800 GTX

January 17, 2011 by hgpu

Poster: CUDA-Accelerated Continuous 2D Scatterplots

Sven Bachthaler, Steffen Frey, Daniel Weiskopf

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

January 15, 2011 by hgpu

Dynamic Sampling and Rendering of Algebraic Point Set Surfaces

Gael Guennebaud, Marcel Germann, Markus H. Gross

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

January 14, 2011 by hgpu

Hardware-Assisted Projected Tetrahedra

Andre Maximo, Ricardo Marroquim, Ricardo Farias

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Tags: Computer science, CUDA, Image generation, nVidia, nVidia GeForce 8800 GTX, Rendering, Sorting

January 13, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Evolving GeneChip correlation predictors on parallel graphics hardware

Accelerating Genetic Programming through Graphics Processing Units

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

Simultaneous and fast 3D tracking of multiple faces in video by GPU-based stream processing

SPRAT: Runtime processor selection for energy-aware computing

Relational query coprocessing on graphics processors

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

CheCUDA: A Checkpoint/Restart Tool for CUDA Applications

Evaluating GPUs for network packet signature matching

Poster: CUDA-Accelerated Continuous 2D Scatterplots

Dynamic Sampling and Rendering of Algebraic Point Set Surfaces

Hardware-Assisted Projected Tetrahedra

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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