high performance computing on graphics processing units: hgpu.org

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

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Tags: CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, Optimization, Ultrasound

January 18, 2012 by hgpu

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

Byunghyun Jang

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

January 18, 2012 by hgpu

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Xin Liu, Daqiang Zhang, Jingyu Zhou, Minyi Guo, Yao Shen

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Source codes

Tags: Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Optimization, Package, Programming techniques

January 17, 2012 by hgpu

Graphics Processor Clusters for High Speed Backpropagation

Daniel P. Campbell, Daniel A. Cook

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Tags: CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, Optimization, Signal processing, Tesla C2050

January 14, 2012 by hgpu

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

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Solving Bivariate Polynomial Systems on a GPU

Accelerating Beam Dynamics Simulations with GPUs

A GPU-Based Implementation of Differential Evolution for Solving the Gene Regulatory Network Model Inference Problem

Computing optical flow using fast total variation

Fast Graph Cuts using Shrink-Expand Reparameterization

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

A Compile-Time Managed Multi-Level Register File Hierarchy

Parallel Optimization of Queries in XML Dataset Using GPU

GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

Evaluation and enhancement of memory efficiency targeting general-purpose computations on scalable data-parallel GPU architectures

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Graphics Processor Clusters for High Speed Backpropagation

Recent source codes

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

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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