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Dynamically Managed Data for CPU-GPU Architectures

Thomas B. Jablin, James A. Jablin, Prakash Prabhu, Feng Liu, David I. August

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Tags: Computer science, CUDA, Data Structures and Algorithms, Memory model, nVidia, nVidia GeForce GTX 480, Performance

January 19, 2012 by hgpu

Combining approximate inference methods for efficient learning on large computer clusters

Zhenwen Dai, Jacquelyn A. Shelton, Jorg Bornschein, Abdul Saboor Sheikh, Jorg Lucke

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Tags: Algorithms, Computational Complexity, Computer science, GPU cluster, Machine learning, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Python

January 19, 2012 by hgpu

Platform Characterization for Domain-Specific Computing

Alex Bui, Kwang-Ting (Tim) Cheng, Jason Cong, Luminita Vese, Yi-Chu Wang, Bo Yuan, Yi Zou

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla C1060

January 19, 2012 by hgpu

Human Re-identification System On Highly Parallel GPU and CPU Architectures

Slawomir Bak, Krzysztof Kurowski, Krystyna Napierala

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla S1070

January 19, 2012 by hgpu

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

Kuen Hung Tsoi, Wayne Luk

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Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, FPGA, Heterogeneous systems, N-body simulation, nVidia, Optimization, Tesla C1060

January 19, 2012 by hgpu

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, Heterogeneous systems, Linear Algebra, Programming techniques

January 19, 2012 by hgpu

A Compile-Time Managed Multi-Level Register File Hierarchy

Mark Gebhart, Stephen W. Keckler, William J. Dally

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, Optimization, PTX

January 19, 2012 by hgpu

Parallel Optimization of Queries in XML Dataset Using GPU

Xujie Si, Airu Yin, Xiaocheng Huang, Xiaojie Yuan, Xiaoguang Liu, Gang Wang

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Optimization

January 18, 2012 by hgpu

Cognitive radio network for the smart grid: Experimental system architecture, control algorithms, security, and microgrid testbed

Robert Caiming Qiu, Zhen Hu, Zhe Chen, Nan Guo, Raghuram Ranganathan, Shujie Hou, Gang Zheng

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Tags: Computer science, CUDA, Networks, nVidia

January 18, 2012 by hgpu

The ‘Chimera’: an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform

Ra Inta, David J. Bowman, Susan M. Scott

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Hybrid computing, nVidia, Tesla C2070

January 18, 2012 by hgpu

Investigation of Parallel Computation – MPI, CUDA and Parallel Visualization

Lei Fan

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Tags: Algorithms, Computer science, CUDA, Fluid dynamics, MPI, nVidia, OpenGL, Sorting, Visualization

January 18, 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

Dynamically Managed Data for CPU-GPU Architectures

Combining approximate inference methods for efficient learning on large computer clusters

Platform Characterization for Domain-Specific Computing

Human Re-identification System On Highly Parallel GPU and CPU Architectures

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

A Compile-Time Managed Multi-Level Register File Hierarchy

Parallel Optimization of Queries in XML Dataset Using GPU

Cognitive radio network for the smart grid: Experimental system architecture, control algorithms, security, and microgrid testbed

The ‘Chimera’: an off-the-shelf CPU/GPGPU/FPGA hybrid computing platform

Investigation of Parallel Computation – MPI, CUDA and Parallel Visualization

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)