high performance computing on graphics processing units: hgpu.org

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Natural HPC substrate: Exploitation of mixed multicore CPU and GPUs

Moussa Taifi, Abdallah Khreishah, Justin Y. Shi

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Tags: Computer science, CUDA, Fault tolerance, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Tesla C1060

November 15, 2011 by hgpu

Efficient Graph Comparison and Visualization Using GPU

Wojciech Czech, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Graph theory, Java, Matrix decomposition, nVidia, Tesla C2070, Visualization

November 15, 2011 by hgpu

A capabilities-aware framework for using computational accelerators in data-intensive computing

M. Mustafa Rafique, Ali R. Butta, Dimitrios S. Nikolopoulos

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Tags: Cell processor, Cloud, Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce 9600 M GT, Playstation

November 14, 2011 by hgpu

Multi GPU Implementation of the Simplex Algorithm

Mohamed Esseghir Lalami, Didier El-Baz, Vincent Boyer

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Hybrid computing, nVidia, nVidia GeForce GTX 260, Tesla C2050

November 14, 2011 by hgpu

AVSS2011 demo session: GPU enabled Smart Video Node

Sadiye Guler, Jay Silverstein, Ian Pushee, Xiang Ma, Ashutosh Morde

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 220

November 14, 2011 by hgpu

Efficient Implementation of the Simplex Method on a CPU-GPU System

M.E. Lalami, V. Boyer, D. El-Baz

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Tags: Algorithms, Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 260

November 14, 2011 by hgpu

A fast and robust seed flooding algorithm on GPU for Voronoi diagram generation

Licai Guo, Feng Wang, Zhangjin Huang, Naijie Gu

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C1060, Voronoi diagram

November 14, 2011 by hgpu

Extinction-Based Shading and Illumination in GPU Volume Ray-Casting

Philipp Schlegel, Maxim Makhinya, Renato Pajarola

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering

November 14, 2011 by hgpu

Comprehensive Performance Monitoring for GPU Cluster Systems

K. Furlinger, N.J. Wright, D. Skinner

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Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, Performance, Tesla C2050

November 13, 2011 by hgpu

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

J. Duato, Pena, A.J. a, F. Silla, R. Mayo, E.S. Quintana-Orti

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Tags: Computer science, CUDA, Distributed computing, Energy-efficient computing, nVidia, Package, PC cluster, Tesla C1060

November 12, 2011 by hgpu

A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations

Xiang Tian, C. Bouganis

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Tags: Computer science, FPGA, Monte Carlo simulation

November 12, 2011 by hgpu

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead

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Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound

November 12, 2011 by hgpu

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

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

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

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Natural HPC substrate: Exploitation of mixed multicore CPU and GPUs

Efficient Graph Comparison and Visualization Using GPU

Multi GPU Implementation of the Simplex Algorithm

AVSS2011 demo session: GPU enabled Smart Video Node

Efficient Implementation of the Simplex Method on a CPU-GPU System

A fast and robust seed flooding algorithm on GPU for Voronoi diagram generation

Extinction-Based Shading and Illumination in GPU Volume Ray-Casting

Comprehensive Performance Monitoring for GPU Cluster Systems

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Recent source codes

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

ROCm's implementation of Gromacs

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

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

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