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A Many Threaded CUDA Interpreter for Genetic Programming

William B. Langdon

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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

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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

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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

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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

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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

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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

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

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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

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

January 16, 2011 by hgpu

Daubechies wavelets for high performance electronic structure calculations: The BigDFT project

Luigi Genovese, Brice Videau, Matthieu Ospici, Thierry Deutsch, Stefan Goedecker, Jean-Francois Mehaut

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Tags: Chemistry, Molecular modeling, OpenCL, Package, Physics

January 16, 2011 by hgpu

Fluid-solid coupling on a cluster of GPU graphics cards for seismic wave propagation

Dimitri Komatitsch

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Tags: CUDA, Earth and Space Sciences, Finite element method, Geoscience, nVidia, Package, Seismic modeling, Seismology, Tesla S1070

January 16, 2011 by hgpu

Barra: A Parallel Functional Simulator for GPGPU

Sylvain Collange, Marc Daumas, David Defour, David

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Package

January 15, 2011 by hgpu

Practical CFD Simulations on Programmable Graphics Hardware using SMAC

Carlos Eduardo Scheidegger, Joao L.D. Comba, Rudnei D. Da Cunha

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Tags: Cg, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900, OpenGL, Package

January 14, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Daubechies wavelets for high performance electronic structure calculations: The BigDFT project

Fluid-solid coupling on a cluster of GPU graphics cards for seismic wave propagation

Barra: A Parallel Functional Simulator for GPGPU

Practical CFD Simulations on Programmable Graphics Hardware using SMAC

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)