high performance computing on graphics processing units: hgpu.org

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Parallel Hashing, Compression and Encryption with OpenCL under OS X

Vasileios Xouris

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Tags: Algorithms, Compression, Computer science, Hashing, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, OpenCL, Security, Thesis

March 2, 2012 by hgpu

GPU Parallel Statistical and Cube Test Analysis of the SHA-3 Finalist Candidate Hash Functions

Alan Kaminsky

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Tags: Computer science, CUDA, Hashing, nVidia, Package, Security, Tesla C2050

February 18, 2012 by hgpu

GPUs as Storage System Accelerators

Samer Al-Kiswany, Abdullah Gharaibeh, Matei Ripeanu

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Tags: Computer science, CUDA, Hashing, nVidia, Security, Storage system, Tesla C2050

February 17, 2012 by hgpu

Real-Time Photon Mapping on GPU

Sanket Gupte

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, Raytracing, Real-time graphics

January 24, 2012 by hgpu

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

Jia Pan, Dinesh Manocha

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Tags: Algorithms, Computer science, Data mining, Databases, Hashing, Nearest neighbour, nVidia, nVidia GeForce GTX 480

January 9, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

GPU Implementation of the Keccak Hash Function Family

Pierre-Louis Cayrel, Gerhard Hoffmann, Michael Schneider

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 295, Package, Security, Tesla C2050

December 7, 2011 by hgpu

Accelerating The Cloud with Heterogeneous Computing

Sahil Suneja, Elliott Baron, Eyal de Lara, Ryan Johnson

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Tags: ATI, ATI Radeon HD 5870, Cloud, Computer science, Hashing, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL

November 18, 2011 by hgpu

Effects of GPU and CPU Loads on Performance of CUDA Applications

Maksim Bobrov, Roy Melton, Stanislaw Radziszowski, Marcin Lukowiak

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Tags: AES, Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 285, Performance, Security

November 9, 2011 by hgpu

Optimizing a Semantic Comparator using CUDA-enabled Graphics Hardware

Aalap Tripathy, Suneil Mohan, Rabi Mahapatra

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Tags: Bloom filter, Computer science, CUDA, Green, Hashing, nVidia, Semantic indexing, Tesla C870

October 1, 2011 by hgpu

Reconstructing hash reversal based proof of work schemes

Jeff Green, Joshua Juen, Omid Fatemieh, Ravinder Shankesi, Dong Jin, Carl A. Gunter

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 9800 GX2, Performance, Security

September 21, 2011 by hgpu

GPU-Based Parallel Signature Scanning and Hash Generation

Bernhard Fechner

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 260, Pattern Search, Security, Sequence matching

June 24, 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

Parallel Hashing, Compression and Encryption with OpenCL under OS X

GPU Parallel Statistical and Cube Test Analysis of the SHA-3 Finalist Candidate Hash Functions

GPUs as Storage System Accelerators

Real-Time Photon Mapping on GPU

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

GPU Implementation of the Keccak Hash Function Family

Effects of GPU and CPU Loads on Performance of CUDA Applications

Optimizing a Semantic Comparator using CUDA-enabled Graphics Hardware

Reconstructing hash reversal based proof of work schemes

GPU-Based Parallel Signature Scanning and Hash Generation

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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