high performance computing on graphics processing units: hgpu.org

Abtin Rahimian, Ilya Lashuk, Shravan Veerapaneni, Aparna Chandramowlishwaran, Dhairya Malhotra, Logan Moon, Rahul Sampath, Aashay Shringarpure, Jeffrey Vetter, Richard Vuduc, Denis Zorin, George Biros

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Tags: CUDA, Fluid dynamics, GPU cluster, Medicine, MPI, N-body simulation, nVidia, Tesla S1070

April 28, 2011 by hgpu

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

Takashi Shimokawabe, Takayuki Aoki, Chiashi Muroi, Junichi Ishida, Kohei Kawano, Toshio Endo, Akira Nukada, Naoya Maruyama, Satoshi Matsuoka

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Tags: CUDA, Earth and Space Sciences, GPU cluster, nVidia, Tesla S1070, Weather Prediction Model

April 28, 2011 by hgpu

GRS – GPU radix sort for multifield records

Shibdas Bandyopadhyay, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting, Tesla C1060

April 27, 2011 by hgpu

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Optical flow, Video tracking

April 27, 2011 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

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Pushing the limits for medical image reconstruction on recent standard multicore processors

American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods

GPU implementation of motion estimation for visual saliency

Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)

Finite temperature lattice QCD with GPUs

GPU implementation of the pixel purity index algorithm for hyperspectral image analysis

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures

An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code

GRS – GPU radix sort for multifield records

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

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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