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Investigating the Impact of Data Parallelism and GPU Technology on Computer Gaming

Abu Asaduzzaman, Deepthi Gummadi

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Tags: Computer science, CUDA, Data parallelism, Games, nVidia, Tesla C2075

May 17, 2014 by hgpu

Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Robert F. Lyerly

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Tags: Compilers, Computer science, Heterogeneous systems, Intel Xeon Phi, Machine learning, nVidia, OpenCL, OpenMP, Task scheduling, Tesla C2075

May 9, 2014 by hgpu

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Anirudh Mohan Kaushik

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Tesla C2075, Thesis

May 5, 2014 by hgpu

Galerkin-based multi-scale time integration for nonlinear structural dynamics

Matthias Bartelt, Michael Gross

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Tags: CUDA, Differential equations, Linear Algebra, Mathematics, Numerical simulation, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C2075

April 24, 2014 by hgpu

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Michael Gowanlock, Henri Casanova, David Schanzenbach

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Tags: Computer science, Databases, nVidia, OpenCL, Tesla C2075

April 22, 2014 by hgpu

Parallel Support Vector Machines in Practice

Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Linear Algebra, Machine learning, nVidia, Package, Tesla C2075

April 6, 2014 by hgpu

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

A. Jain

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C2075

March 22, 2014 by hgpu

GPU Accelerated Process Planning For CNC-Machined Parts:Industrial Components to Bone Implants

A. Joshi, M. Frank

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Tags: CAD, CUDA, nVidia, Tesla C2075

March 21, 2014 by hgpu

Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

Liliana Ibeth Barbosa-Santillan, Inmaculada Alvarez-de-Mon y-Rego

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 600, Tesla C2075

March 18, 2014 by hgpu

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Julio Camarero Mateo

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, Tesla C2075, Thesis

March 17, 2014 by hgpu

Converting Data to Task-Parallelism by Rewrites

Ryan R. Newton, Eric Holk, Trevor L. McDonell

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Tags: Computer science, CUDA, Haskell, nVidia, Package, Task scheduling, Tesla C2075

March 7, 2014 by hgpu

Computing least squares condition numbers on hybrid multicore/GPU systems

Marc Baboulin, Jack Dongarra, Remi Lacroix

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2075

February 21, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Investigating the Impact of Data Parallelism and GPU Technology on Computer Gaming

Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Galerkin-based multi-scale time integration for nonlinear structural dynamics

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Parallel Support Vector Machines in Practice

CUDA Implementation of a Lattice Boltzmann Method and Code Optimization

GPU Accelerated Process Planning For CNC-Machined Parts:Industrial Components to Bone Implants

Towards a Unified Sentiment Lexicon Based on Graphics Processing Units

CPU/GPGPU/HW comparison of an Eigenfaces face recognition system

Converting Data to Task-Parallelism by Rewrites

Computing least squares condition numbers on hybrid multicore/GPU systems

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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