high performance computing on graphics processing units: hgpu.org

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GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

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Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 by hgpu

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

E.A. Malkov, M.S. Ivanov

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Tags: Algorithms, Boltzmann equation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Physics

November 6, 2011 by hgpu

The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Chao Chen

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Linear Algebra, Matrix multiplication, nVidia

November 6, 2011 by hgpu

Fast QAP Solver with ACO and Taboo Search on GPU using Move-Cost Adjusted Thread Assignment

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, Search

November 5, 2011 by hgpu

Challenges for compiler support for exascale computing

Daniel Quinlan

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Tags: Compilers, Computer science, CUDA, nVidia, Optimization, Presentation

November 5, 2011 by hgpu

CUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking

Evert van Aart, Neda Sepasian, Andrei Jalba, Anna Vilanova

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Tags: Algorithms, Computer science, CUDA, Diffusion tensor, nVidia, nVidia GeForce GTX 470, Raytracing

November 5, 2011 by hgpu

A mobile robot navigation with use of CUDA parallel architecture

Barbara Siemiatkowska, Jacek Szklarski, Michal Gnatowski, Adam Borkowski, Piotr Weclewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9300 M, Sensing

November 5, 2011 by hgpu

Real-time Flame Rendering with GPU and CUDA

Wei Wei,Yanqiong Huang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 7600 GS, OpenGL, Particle simulation, Rendering

November 5, 2011 by hgpu

PEPSC: A Power-Efficient Processor for Scientific Computing

Ganesh Dasika, Ankit Sethia, Trevor Mudge, Scott Mahlke

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Tags: Computer science, Energy-efficient computing, Hardware Architecture, nVidia, nVidia GeForce GTX 285, Prefetch

November 4, 2011 by hgpu

Semi-Global Matching-Motivation, Developments and Applications

Heiko Hirschmuller

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Tags: Computer science, Computer vision, FPGA, nVidia, nVidia GeForce GTX 275, OpenCL, OpenGL, Sensing

November 4, 2011 by hgpu

Inter-cluster communication on clustered SIMD architectures

Kris Hoogendoorn

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Tags: Computer science, Hardware Architecture, nVidia, nVidia GeForce GTX 580

November 4, 2011 by hgpu

Computing Optimal Cycle Mean in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, Optimization

November 4, 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-accelerated Convex Multi-phase Image Segmentation

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

The conjugate gradient solver accelerated by GPU for solving wave-propagation problems

Fast QAP Solver with ACO and Taboo Search on GPU using Move-Cost Adjusted Thread Assignment

Challenges for compiler support for exascale computing

CUDA-Accelerated Geodesic Ray-Tracing for Fiber Tracking

A mobile robot navigation with use of CUDA parallel architecture

Real-time Flame Rendering with GPU and CUDA

PEPSC: A Power-Efficient Processor for Scientific Computing

Semi-Global Matching-Motivation, Developments and Applications

Inter-cluster communication on clustered SIMD architectures

Computing Optimal Cycle Mean in Parallel on CUDA

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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