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Parallel AES Encryption Engines for Many-Core Processor Arrays

Bin Liu, Bevan M. Baas

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Tags: AES, Computer science, DSP, nVidia, nVidia GeForce 8800 GTX, Security

January 16, 2012 by hgpu

Nested Intervals Tree Encoding with System of Residual Classes

A. Malikov, A. Turyev

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia

January 16, 2012 by hgpu

Spectral Method Characterization on FPGA and GPU Accelerators

Karl Pereira, Peter Athanas, Heshan Lin, Wu Feng

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Tags: Computer science, CUDA, DSP, FFT, FPGA, nVidia, nVidia GeForce GTX 280, Performance, Tesla C2050

January 15, 2012 by hgpu

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Muhammad Hasan Jamal, Nabeel AlSaber

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Tags: Computer science, CUDA, FEM, Finite element method, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5600

January 15, 2012 by hgpu

Declarative Parallel Programming for GPUs

Eric Holk, William Byrd, Nilesh Mahajan, Jeremiah Willcock, Arun Chauhan, Andrew Lumsdaine

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Tags: ATI, ATI Radeon HD 5770, Compilers, Computer science, nVidia, OpenCL

January 15, 2012 by hgpu

A visibility-based approach for occupancy grid computation in disparity space

Mathias Perrollaz, John-David Yoder, Amaury Negre, Anne Spalanzani, Christian Laugier

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, Stereo vision

January 15, 2012 by hgpu

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Joao V. F. Lima, Nicolas Maillard, Vincent Danjean, Thierry Gautier

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia

January 14, 2012 by hgpu

Efficient Knowledge Extraction from Structured Data

Bianca Wackersreuther

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Tags: Algorithms, Clustering, Compression, Computer science, CUDA, Data mining, Databases, Heterogeneous systems, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Thesis

January 14, 2012 by hgpu

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

Alexander Woodward, Patrice Delmas

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 580, Stereo vision

January 14, 2012 by hgpu

Accelerating Bit Error Rate Simulation in MATLAB with Graphics Processors

James Lebak, Brian Fanous, Nick Moore

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Tags: Computer science, CUDA, nVidia, Parity-check codes, Tesla C1060

January 14, 2012 by hgpu

Towards ad-hoc GPU acceleration of parallel eigensystem computations

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

January 13, 2012 by hgpu

Parallel Implementations of Hopfield Neural Networks On GPU

Li Liang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Optimization

January 13, 2012 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

Parallel AES Encryption Engines for Many-Core Processor Arrays

Nested Intervals Tree Encoding with System of Residual Classes

Spectral Method Characterization on FPGA and GPU Accelerators

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Declarative Parallel Programming for GPUs

A visibility-based approach for occupancy grid computation in disparity space

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Efficient Knowledge Extraction from Structured Data

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

Accelerating Bit Error Rate Simulation in MATLAB with Graphics Processors

Towards ad-hoc GPU acceleration of parallel eigensystem computations

Parallel Implementations of Hopfield Neural Networks On GPU

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)