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Algorithms for Compression on GPUs

Anders L. V. Nicolaisen

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 620 M, Thesis

August 19, 2013 by hgpu

Towards a Distributed GPU-Accelerated Matrix Inversion

Gerardo Ares, Pablo Ezzatti, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Factorization, Matrix inversion, nVidia, Tesla C2050, Tesla M2050

August 18, 2013 by hgpu

Encrypting video streams using OpenCL code on-demand

Juan P. D'Amato, Marcelo Venere

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 550, OpenCL, Security, Video encoding

August 18, 2013 by hgpu

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Adrian Pousa, Victoria Maria Sanz, Armando De Giusti

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Tags: AES, Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 560 Ti, Security

August 17, 2013 by hgpu

Lossless LZW Data Compression Algorithm on CUDA

Shyni K, Manoj Kumar KV

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

August 16, 2013 by hgpu

Towards Path Tracing in Games

Jacco Bikker, Jeroen van Schijndel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Raytracing, Rendering

August 16, 2013 by hgpu

GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm

Leonardo Bottolo, Marc Chadeau-Hyam, David I. Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S. Wild, Arne Schillert, Andreas Ziegler, Sune F. Nielsen, Adam S. Butterworth, Weang Kee Ho, Raphaele Castagne, Thomas Munzel, David Tregouet, Mario Falchi15, Francois Cambien, Borge G. Nordestgaard, Frederic Fumeron, Anne Tybjaerg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

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Tags: Algorithms, Bayesian, Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C1060

August 16, 2013 by hgpu

Parallel Gravitation Field Algorithm Based on the CUDA Platform

Guang Rong, Guixia Liu, Ming Zheng, An Sun, Yuan Tian, Han Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 440, Search

August 15, 2013 by hgpu

General Transformations for GPU Execution of Tree Traversals

Michael Goldfarb, Youngjoon Jo, Milind Kulkarni

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Tags: Algorithms, Compilers, Computer science, CUDA, KD-tree, nVidia, Performance, Tesla C2070

August 15, 2013 by hgpu

Programming Dense Linear Algebra Kernels on Vectorized Architectures

Jonathan Lawrence Peyton

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Tags: Algorithms, Computer science, Intel Phi, Linear Algebra, Thesis

August 15, 2013 by hgpu

Lattice Boltzmann Method for Simulating Turbulent Flows

Yusuke Koda

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla M2070, Thesis

August 14, 2013 by hgpu

GPU Acceleration of a Basket Option Pricing Engine

Sean Trainor, Danny Crookes

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Tags: Algorithms, CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 670, OpenCL

August 14, 2013 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 plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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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