high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Keynote address: Immersive exploration of large datasets

A. Kaufman

Tags: Computer science, Computer vision, GPU cluster, Rendering

June 15, 2011 by hgpu

FPGA Based High Performance and Scalable Block LU Decomposition Architecture

Manish Kumar Jaiswal, Nitin Chandrachoodan

Tags: Computer science, FPGA, Linear Algebra, Matrix decomposition

June 14, 2011 by hgpu

A Highly Scalable Solution of an NP-Complete Problem Using CUDA

Saiyedul Islam, Raghav Tandon, Shashank Singh, Alok Misra

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, SAT

June 14, 2011 by hgpu

In Situ Power Analysis of General Purpose Graphical Processing Units

M.Z. Shaikh, M. Gregoire, W. Li, M. Wroblewski, S. Simon

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Performance

June 14, 2011 by hgpu

Realistic real-time rendering for large-scale forest scenes

Guanbo Bao, Hongjun Li, Xiaopeng Zhang, Wujun Che, Marc Jaeger

Tags: 3D Graphics and Realism, Computer science, Rendering

June 14, 2011 by hgpu

An FPGA Implementation of Information Theoretic Visual-Saliency System and Its Optimization

Sungmin Bae, Yong Cheol Peter Cho, Sungho Park, Kevin M. Irick, Yongseok Jin, Vijaykrishnan Narayanan

Tags: Computer science, Computer vision, FPGA, Optimization

June 14, 2011 by hgpu

A comparative study of GPU programming models and architectures using neural networks

Vivek Pallipuram, Mohammad Bhuiyan, Melissa Smith

Tags: ATI, Computer science, CUDA, Neural networks, nVidia, OpenCL, Performance, Tesla C2050

June 14, 2011 by hgpu

A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems

Rio Yokota, Lorena Barba

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Tags: Algorithms, Computer science, CUDA, Fast multipole method, GPU cluster, Heterogeneous systems, Numerical Analysis, nVidia, nVidia GeForce GTX 295, OpenMP

June 14, 2011 by hgpu

Accelerating Parameter Sweep Applications Using CUDA

Masaya Motokubota, Fumihiko Ino, Kenichi Hagihara

Tags: Computer science, CUDA, Memory level parallelism, nVidia, Performance

June 14, 2011 by hgpu

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs

Doruk Sart, Abdullah Mueen, Walid Najjar, Eamonn Keogh, Vit Niennattrakul

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Tags: Algorithms, Computer science, CUDA, Data mining, FPGA, nVidia, Tesla C1060

June 14, 2011 by hgpu

Memory-efficient implementation of a graphics processor-based cluster detection algorithm for large spatial databases

R.J. Thapa, C. Trefftz, G. Wolffe

Tags: Algorithms, Computer science, Databases, Memory model

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

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

Keynote address: Immersive exploration of large datasets

FPGA Based High Performance and Scalable Block LU Decomposition Architecture

A Highly Scalable Solution of an NP-Complete Problem Using CUDA

In Situ Power Analysis of General Purpose Graphical Processing Units

Realistic real-time rendering for large-scale forest scenes

An FPGA Implementation of Information Theoretic Visual-Saliency System and Its Optimization

A comparative study of GPU programming models and architectures using neural networks

A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems

Accelerating Parameter Sweep Applications Using CUDA

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs

Memory-efficient implementation of a graphics processor-based cluster detection algorithm for large spatial databases

Massively LDPC Decoding on Multicore Architectures

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)