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Shredder: GPU-Accelerated Incremental Storage and Computation

Pramod Bhatotia, Rodrigo Rodrigues, Akshat Verma

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Tags: Cloud, Computer science, CUDA, MapReduce, nVidia, Storage system, Tesla C2050

February 24, 2012 by hgpu

Acceleration of Composite Order Bilinear Pairing on Graphics Hardware

Ye Zhang, Chun Jason Xue, Duncan S. Wong, Nikos Mamoulis, S.M. Yiu

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Tags: Algorithms, Cloud, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Security, Tesla M2050

February 21, 2012 by hgpu

Verifiable Computation with Massively Parallel Interactive Proofs

Justin Thaler, Mike Roberts, Michael Mitzenmacher, Hanspeter Pfister

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Tags: Benchmarking, Cloud, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, Package, Security

February 8, 2012 by hgpu

Experiences in Teaching a Specialty Multicore Computing Course

Peter E. Strazdins

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Tags: Cloud, Computer science, CUDA, Education, nVidia, Package, Virtualization

January 20, 2012 by hgpu

Leveraging on High-Performance Computing and Cloud Technologies in Digital Libraries: A Case Study

Peter Wittek, Sandor Daranyi

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Tags: Algorithms, Cloud, Computer science, Machine learning, MapReduce, Text mining

January 20, 2012 by hgpu

Decreasing NAME III Solution Time Using GP-GPU

Kingsley Gale-Sides

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Tags: Benchmarking, Cloud, Computer science, CUDA, Fortran, MPI, nVidia, Tesla C2050, Tesla M1060, Thesis

January 1, 2012 by hgpu

A GPU Accelerated High Performance Cloud Computing Infrastructure for Grid Computing Based Virtual Environmental Laboratory

Francisco Giunta, Raffaele Montella, Giuliano Laccetti, Florin Isaila, Francisco Javier Garcia Blas

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Tags: Cloud, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 9400 GT, Security, Virtualization

December 27, 2011 by hgpu

Online rapid prototyping of 3D objects using GPU-based 3D cloud computing: Application to 3D face modelling

Minh Nguyen, Patrice Delmas, Georgy Gimel'farb, Y.H. Chan, Alfonso Gastelum Strozzi

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Rendering

December 23, 2011 by hgpu

The MOSIX Cluster Operating System for High-Performance Computing on Linux Clusters, Multi-Clusters, GPU Clusters and Clouds

A. Barak, A. Shiloh

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Tags: Cloud, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

December 18, 2011 by hgpu

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

pyATF: Constraint-Based Auto-Tuning in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads

KernelBench: Can LLMs Write GPU Kernels?

KernelBench: Can LLMs Write Efficient GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Seamless acceleration of Fortran intrinsics via AMD AI engines

Forecasting time series with constraints

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