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CuParcone A High-Performance Evolvable Neural Network Model

Xiaoxi Chen, Lin Gao, Hugo de Garis

Tags: CUDA, Image processing, Image recognition, Neural networks, nVidia

June 14, 2011 by hgpu

Massively LDPC Decoding on Multicore Architectures

Gabriel Falcao, Leonel Sousa, Vitor Silva

Tags: Cell processor, Computer science, CUDA, nVidia, Parity-check codes, Performance

June 10, 2011 by hgpu

CUDA Based Fast Implementation of Very Large Matrix Computation

Yinghong Sun, Yuanman Tong

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia

June 10, 2011 by hgpu

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park

Source codes

Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, Package

June 9, 2011 by hgpu

Low-Frequency MLFMA on Graphics Processors

M. Cwikla, J. Aronsson, V. Okhmatovski

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Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, nVidia Quadro FX 5800

June 9, 2011 by hgpu

SAR focusing of P-band ice sounding data using back-projection

Anders Kusk, Jorgen Dall

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 260

June 9, 2011 by hgpu

Parallelism of Clonal Selection for PSP on CUDA

Hongbing Zhu, Heng Xiao, JinGuang Gu

Tags: Biology, CUDA, Macromolecule, nVidia

June 9, 2011 by hgpu

Parallel multi-level analytical global placement on graphics processing units

Jason Cong, Yi Zou

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, Performance, Tesla C1060

June 9, 2011 by hgpu

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Lifan Xu, Michela Taufer, Stuart Collins, Dionisios G. Vlachos

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Tags: Chemistry, CUDA, Data parallelism, GPU cluster, Monte Carlo simulation, nVidia, Physics, Tesla S1070

June 9, 2011 by hgpu

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Andrew Janowczyk, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Particle filtering, Pseudo-random number generators

June 7, 2011 by hgpu

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

Satish Chikkagoudar, Kai Wang, Mingyao Li

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Source codes

Tags: Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 1800, Package, Tesla C1060

June 7, 2011 by hgpu

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Weihang Zhu, Ashraf Yaseen, Yaohang Li

Tags: Computer science, CUDA, Differential evolution, Monte Carlo simulation, nVidia, Optimization

June 7, 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

CuParcone A High-Performance Evolvable Neural Network Model

Massively LDPC Decoding on Multicore Architectures

CUDA Based Fast Implementation of Very Large Matrix Computation

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Low-Frequency MLFMA on Graphics Processors

SAR focusing of P-band ice sounding data using back-projection

Parallelism of Clonal Selection for PSP on CUDA

Parallel multi-level analytical global placement on graphics processing units

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

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)