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ECC2K-130 on NVIDIA GPUs

Daniel J. Bernstein, Hsieh-Chung Chen, Chen-Mou Cheng, Tanja Lange, Ruben Niederhagen, Peter Schwabe, Bo-Yin Yang

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Tags: Computer science, CUDA, Elliptic-curve method of factorization, nVidia, nVidia GeForce GTX 295, Security

March 2, 2011 by hgpu

ECM on Graphics Cards

Daniel Bernstein, Tien-Ren Chen, Chen-Mou Cheng, Tanja Lange, Bo-Yin Yang

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Tags: Computer science, CUDA, Edwards curves, Elliptic curves, Elliptic-curve method of factorization, Factorization, Modular arithmetic, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Security

November 5, 2010 by hgpu

hls4ml: A package for machine learning inference in FPGAs

Fast convolutional neural networks on FPGAs with hls4ml

Adaptive Partial STEM

Advances in Electron Microscopy with Deep Learning

Linus: easy-to-share, interactive 3D figures

linus: Conveniently explore, share, and present large-scale biological trajectory data from a web browser

Compound Word Transformer

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

SAPFOR

Interactive Parallelization of C Programs in SAPFOR

CUDA Memtrace

Exploiting BSP Abstractions for Compiler Based Optimizations of GPU Applications on multi-GPU Systems

ANGHABENCH: a Suite with One Million Compilable C Benchmarks for Code-Size Reduction

ANGHABENCH: a Suite with One Million Compilable C Benchmarks for Code-Size Reduction

waLBerla: (widely applicable Lattice Boltzmann from Erlangen), massively parallel framework for multi physics applications

Highly Efficient Lattice-Boltzmann Multiphase Simulations of Immiscible Fluids at High-Density Ratios on CPUs and GPUs through Code Generation

NaturalCC: A Toolkit to Naturalize the Source Code Corpus

NaturalCC: A Toolkit to Naturalize the Source Code Corpus

Systolic CNN

Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing

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