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Enabling Computational Dynamics in Distributed Computing Environments Using a Heterogeneous Computing Template

Dan Negrut, Toby Heyn, Andrew Seidl, Dan Melanz, David Gorsich, David Lamb

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Tags: Collision detection, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C1060, Visualization

October 20, 2011 by hgpu

Experimental B+-tree for GPU

Krzysztof Kaczmarski

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 280, Sorting

October 20, 2011 by hgpu

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

Siegfried Benkner, Sabri Pllana, Jesper Larsson Traff, Philippas Tsigas, Uwe Dolinsky, Cedric Augonnet, Beverly Bachmayer, Christoph Kessler, David Moloney, Vitaly Osipov

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Tags: Code generation, Computer science, Heterogeneous systems, Hybrid computing, nVidia, OpenCL, Tesla C1060

October 20, 2011 by hgpu

Explicit platform descriptions for heterogeneous many-core architectures

Martin Sandrieser, Siegfried Benkner and Sabri Pllana

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Tags: Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

October 20, 2011 by hgpu

On the Use of an Algebraic Language Interface for Waveform Definition

Michael Dickens, J. Nicholas Laneman

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Tags: Code generation, Computer science, Signal processing

October 20, 2011 by hgpu

A prototyping environment for high performance reconfigurable computing

George Afonso, Rabie Ben Atitallah, Alexandre Loyer, Jean-Luc Dekeyser, Nicolas Belanger, Martial Rubio

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Tags: Computer science, FPGA, Heterogeneous systems

October 20, 2011 by hgpu

An Efficient Stream Buffer Mechanism for Dataflow Execution on Heterogeneous Platforms with GPUs

Ana Balevic, Bart Kienhuis

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, nVidia, Programming techniques, Tesla C2050

October 19, 2011 by hgpu

The Potential for a GPU-Like Overlay Architecture for FPGAs

Jeffrey Kingyens, J. Gregory Steffan

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Tags: ATI, ATI CTM, ATI Radeon X1950, Computer science, FPGA, Performance

October 19, 2011 by hgpu

Designing the Language Liszt for Building Portable Mesh-based PDE Solvers

Zachary DeVito, Pat Hanrahan

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Package, Partial differential equations, PDEs, Performance, Programming Languages, Tesla C2050

October 19, 2011 by hgpu

10×10: A General-purpose Architectural Approach to Heterogeneity and Energy Efficiency

Andrew A. Chien, Allan Snavely, Mark Gahagan

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Tags: Clustering, Computer science, Heterogeneous systems, Optimization

October 19, 2011 by hgpu

A Code Transformation Framework for Scientific Applications on Structured Grids

Pei-Hung Lin, Jagan Jayaraj, Paul Woodward, Pen-chung Yew

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Tags: Compilers, Computer science, Fluid dynamics, Optimization, Performance, Programming techniques

October 19, 2011 by hgpu

AeminiumGPU: A CPU-GPU Hybrid Runtime for the Aeminium Language

Alcides Fonseca

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Tags: Compilers, Computer science, Java, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Package, Thesis

October 19, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Enabling Computational Dynamics in Distributed Computing Environments Using a Heterogeneous Computing Template

Experimental B+-tree for GPU

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

Explicit platform descriptions for heterogeneous many-core architectures

On the Use of an Algebraic Language Interface for Waveform Definition

A prototyping environment for high performance reconfigurable computing

An Efficient Stream Buffer Mechanism for Dataflow Execution on Heterogeneous Platforms with GPUs

The Potential for a GPU-Like Overlay Architecture for FPGAs

Designing the Language Liszt for Building Portable Mesh-based PDE Solvers

10×10: A General-purpose Architectural Approach to Heterogeneity and Energy Efficiency

A Code Transformation Framework for Scientific Applications on Structured Grids

AeminiumGPU: A CPU-GPU Hybrid Runtime for the Aeminium Language

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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