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Simulation of deformable environment with haptic feedback on GPU

Marco Altomonte, Davide Zerbato, Debora Botturi, Paolo Fiorin

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Tags: Computer science, CUDA, nVidia, Presentation, Surgical simulation

December 28, 2010 by hgpu

Cellular automaton for ultra-fast watershed transform on GPU

Claude Kauffmann, Nicolas Piche

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Tags: Algorithms, Cellular automata, Computer science, Computer vision

December 27, 2010 by hgpu

Using Reconfigurable Logic to Optimise GPU Memory Accesses

Ben Cope, Peter Y. K. Cheung, Wayne Luk

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Tags: Computer science, Memory model, nVidia, nVidia GeForce 7900 GTX, Performance

December 27, 2010 by hgpu

BVH for efficient raytracing of dynamic metaballs on GPU

Olivier Gourmel, Anthony Pajot, Loic Barthe, Mathias Paulin, Pierre Poulin

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Raytracing

December 27, 2010 by hgpu

GPU Supported Patch-Based Tessellation for Dual Subdivision

Fengtao Fan, Fuhua (Frank) Cheng

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Rendering

December 27, 2010 by hgpu

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Veerendra Allada, Troy Benjegerdes, Brett Bode

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Tags: Computer science, CUDA, GPU cluster, nVidia, Performance, Presentation, Tesla S1070, Tesla T10

December 27, 2010 by hgpu

Interactive Streak Surface Visualization on the GPU

Kai Bürger, Florian Ferstl, Holger Theisel, Rudiger Westermann

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Tags: Computer science, DirectX, nVidia, nVidia GeForce GTX 280, Visualization

December 27, 2010 by hgpu

Accelerating geometric queries using the GPU

Adarsh Krishnamurthy, Sara McMains, Kirk Halle

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Tags: Algorithms, Computer science, Image generation, nVidia

December 27, 2010 by hgpu

Novel Architectures: Solving Computational Problems with GPU Computing

Jonathan Cohen, Michael Garland

Tags: Computer science, CUDA, nVidia, Review

December 27, 2010 by hgpu

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

John E. Stone, David Gohara, Guochun Shi

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Tags: ATI, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, Review

December 27, 2010 by hgpu

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan

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Tags: Computer science, CUDA, Databases, Neuroscience, nVidia, nVidia GeForce GTX 280

December 27, 2010 by hgpu

CGiS, a new Language for Data-parallel GPU Programming

Nicolas Fritz, Philipp Lucas, Philipp Slusallek

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Tags: Cg, Computer science, High-level Languages, nVidia

December 26, 2010 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Simulation of deformable environment with haptic feedback on GPU

Cellular automaton for ultra-fast watershed transform on GPU

Using Reconfigurable Logic to Optimise GPU Memory Accesses

BVH for efficient raytracing of dynamic metaballs on GPU

GPU Supported Patch-Based Tessellation for Dual Subdivision

Performance analysis of memory transfers and GEMM subroutines on NVIDIA Tesla GPU cluster

Interactive Streak Surface Visualization on the GPU

Accelerating geometric queries using the GPU

Novel Architectures: Solving Computational Problems with GPU Computing

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

CGiS, a new Language for Data-parallel GPU Programming

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

Most viewed papers (last 30 days)