high performance computing on graphics processing units: hgpu.org

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Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Dong Li

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Tags: Computer science, GPGPU-sim, Performance, Thesis

May 7, 2014 by hgpu

Coalition Structure Generation with the Graphics Processing Unit

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali Ramchurn, Tomasz P. Michalak, Talal Rahwan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Package, Performance

May 3, 2014 by hgpu

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce GT 320 M, OpenCL, Performance

May 3, 2014 by hgpu

Address Selection for Efficient Barriers on the Intel Xeon Phi

Romain Dolbeau

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Tags: Computer science, Intel Xeon Phi, Performance

May 2, 2014 by hgpu

Sparser, Better, Faster GPU Parsing

David Hall, Taylor Berg-Kirkpatrick, John Canny, Dan Klein

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Performance

April 21, 2014 by hgpu

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

M.Wozniak, K.Kuznik, M. Paszynski, V. M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 780, Performance, Tesla C2070

April 21, 2014 by hgpu

Dynamic Instrumentation and Optimization for GPU Applications

Naila Farooqui, Christopher J. Rossbach, Yuan Yu

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla M2075

April 16, 2014 by hgpu

Test-driving Intel Xeon Phi

Jianbin Fang, Henk Sips, Lilun Zhang, Chuanfu Xu, Yonggang Che, Ana Lucia Varbanescu

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Tags: Computer science, Intel Xeon Phi, Package, Performance

April 13, 2014 by hgpu

Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures

Luka Stanisic, Samuel Thibault, Arnaud Legrand, Brice Videau, Jean-Francois Mehaut

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Performance, Task scheduling, Tesla C2050, Tesla K20, Tesla M2075

April 9, 2014 by hgpu

A New Non-Blocking Approach on GPU Dynamical Memory Management

Yu-Shiang Lin, Chun-Yuan Lin, Jon-Yu Lee

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

Acceleration of a Full-scale Industrial CFD Application with OP2

Istvan Z. Reguly, Gihan R. Mudalige, Carlo Bertolli, Michael B. Giles, Adam Betts, Paul H. J. Kelly, David Radford

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Tags: Computer science, CUDA, Fluid dynamics, MPI, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

Improving Cache Locality for GPU-based Volume Rendering

Y. Sugimoto, F. Ino, K. Hagihara

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Rendering

March 28, 2014 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

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high performance computing on graphics processing units: hgpu.org

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Coalition Structure Generation with the Graphics Processing Unit

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Address Selection for Efficient Barriers on the Intel Xeon Phi

Sparser, Better, Faster GPU Parsing

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

Dynamic Instrumentation and Optimization for GPU Applications

Test-driving Intel Xeon Phi

Modeling and Simulation of a Dynamic Task-Based Runtime System for Heterogeneous Multi-Core Architectures

A New Non-Blocking Approach on GPU Dynamical Memory Management

Acceleration of a Full-scale Industrial CFD Application with OP2

Improving Cache Locality for GPU-based Volume Rendering

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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