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High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Rainer Buchty, Jan-Philipp Weiss (ed.)

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Tags: Architecture, Cell processor, Computer science, CUDA, nVidia, OpenGL

December 14, 2010 by hgpu

Pseudo-random number generators for Monte Carlo simulations on ATI Graphics Processing Units

Vadim Demchik

Tags: ATI, ATI IL, ATI Radeon HD 4850, ATI Radeon HD 4870, ATI Radeon HD 5850, ATI Radeon HD 5870, ATI Stream, Computational Physics, High Energy Physics - Lattice, Monte Carlo simulation, Physics, Pseudo-random number generators

December 13, 2010 by hgpu

Prototyping flexible touch screen devices using collocated haptic-graphic elastic-object deformation on the GPU

Arun Yoganandan, P. Pat Banerjee, Cristian Luciano, Silvio Rizzi

Tags: 3D Graphics and Realism, Algorithms, Computer science

December 13, 2010 by hgpu

Wavefront raycasting using larger filter kernels for on-the-fly GPU gradient reconstruction

Baoquan Liu, Gordon Clapworthy, Feng Dong

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station

Peter Lu, Hidekazu Oki, Catherine Frey, Gregory Chamitoff, Leroy Chiao, Edward Fincke, C. Foale, Sandra Magnus, William McArthur, Daniel Tani, Peggy Whitson, Jeffrey Williams, William Meyer, Ronald Sicker, Brion Au, Mark Christiansen, Andrew Schofield, David Weitz

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Tesla C1060

December 13, 2010 by hgpu

Development of a GPU-based multithreaded software application to calculate digitally reconstructed radiographs for radiotherapy

Shinichiro Mori, Masanao Kobayashi, Motoki Kumagai, Shinichi Minohara

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, Radiotherapy

December 13, 2010 by hgpu

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing

Yuliya Tarabalka, Trym Haavardsholm, Ingebjorg Kasen, Torbjorn Skauli

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 Ultra

December 13, 2010 by hgpu

Fast and automatic object pose estimation for range images on the GPU

In Park, Marcel Germann, Michael Breitenstein, Hanspeter Pfister

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 13, 2010 by hgpu

A GPU Tile-Load-Map architecture for terrain rendering: theory and applications

Yacine Amara, Xavier Marsault

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

GPU-ABiSort: Optimal Parallel Sorting on Stream Architectures

A. Gres, G. Zachmann

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX, Sorting

December 13, 2010 by hgpu

Toward Acceleration of RSA Using 3D Graphics Hardware

A. Moss, N. P. Smart

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Security

December 13, 2010 by hgpu

Remotely Keyed Cryptographics Secure Remote Display Access Using (Mostly) Untrusted Hardware

Debra L. Cook, Ricardo Baratto, Angelos D. Keromytis

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Tags: Algorithms, ATI, ATI Mobility Radeon 7500, Computer science, nVidia, nVidia GeForce 3, OpenGL, Security

December 13, 2010 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 plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

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

Parallel Gaussian process with kernel approximation in CUDA

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