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A computing origami: Optimized code generation for emerging parallel platforms

Hagiescu Miriste Andrei Mihai

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Tags: Code generation, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Optimization, Tesla S1070, Thesis

March 29, 2012 by hgpu

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Rodrigo Dominguez

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Thesis

March 27, 2012 by hgpu

Generating optimal CUDA sparse matrix-vector product implementations for evolving GPU hardware

Ahmed H. El Zein, Alistair P. Rendell

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 295, Performance, Sparse matrix, Tesla S2050

March 19, 2012 by hgpu

On the Use of Small 2D Convolutions on GPUs

Shams A.H. Al Umairy, Alexander S. van Amesfoort, Irwan D. Setija, Martijn C. van Beurden, Henk J. Sips

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Tags: Computer science, CUDA, Electrodynamics, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Optimization, Physics, Tesla C1060

March 15, 2012 by hgpu

Benchmarking Next Generation Hardware Platforms: An Experimental Approach

Vishakha Gupta, Adit Ranadive, Ada Gavrilovska, Karsten Schwan

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Tags: Benchmarking, CUDA, Finance, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GTX

March 1, 2012 by hgpu

Aggregate Gaze Visualization with Real-time Heatmaps

Andrew T. Duchowski, Margaux M. Price, Miriah Meyer, Pilar Orero

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Tags: Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9400 M, OpenGL, Rendering, Visualization

February 7, 2012 by hgpu

The GPU Enhanced Parallel Computing for Large Scale Data Clustering

Xiaohui Cui, Jesse St. Charles, Justin Beaver, Thomas E. Potok

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

January 24, 2012 by hgpu

Parallel Volume Rendering for Large Scientific Data

Thomas Fogal

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Tags: Algorithms, Computer science, MRI, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 5800, OpenGL, Rendering, Visualization

January 20, 2012 by hgpu

Data Triage and Visual Analytics for Scientific Visualization

Teng-Yok Lee

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Tags: Computer science, CUDA, GLSL, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 460, Thesis, Visualization

January 16, 2012 by hgpu

Feature Extraction and Visualization from Higher-Order CFD Data

Christian Azambuja Pagot

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Tags: CUDA, Flow analysis, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Thesis, Visualization

January 16, 2012 by hgpu

Parallel AES Encryption Engines for Many-Core Processor Arrays

Bin Liu, Bevan M. Baas

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Tags: AES, Computer science, DSP, nVidia, nVidia GeForce 8800 GTX, Security

January 16, 2012 by hgpu

Efficient Knowledge Extraction from Structured Data

Bianca Wackersreuther

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Tags: Algorithms, Clustering, Compression, Computer science, CUDA, Data mining, Databases, Heterogeneous systems, Hierarchical clustering, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Thesis

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

See all packages

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high performance computing on graphics processing units: hgpu.org

A computing origami: Optimized code generation for emerging parallel platforms

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Generating optimal CUDA sparse matrix-vector product implementations for evolving GPU hardware

On the Use of Small 2D Convolutions on GPUs

Benchmarking Next Generation Hardware Platforms: An Experimental Approach

Aggregate Gaze Visualization with Real-time Heatmaps

The GPU Enhanced Parallel Computing for Large Scale Data Clustering

Parallel Volume Rendering for Large Scientific Data

Data Triage and Visual Analytics for Scientific Visualization

Feature Extraction and Visualization from Higher-Order CFD Data

Parallel AES Encryption Engines for Many-Core Processor Arrays

Efficient Knowledge Extraction from Structured Data

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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