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hgpu.org » ATI IL

Building Correlators with Many-Core Hardware

Rob V. van Nieuwpoort and John W. Romein
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March 3, 2011 by hgpu

RankBoost Acceleration on both NVIDIA CUDA and ATI Stream Platforms

Bo Wang, Tianji Wu, Feng Yan, Ruirui Li, Ningyi Xu, Yu Wang
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March 3, 2011 by hgpu

On the type of the temperature phase transition in phi-4 model

M.Bordag, V.Demchik, A.Gulov, V.Skalozub
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December 27, 2010 by hgpu

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

Vadim Demchik

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December 13, 2010 by hgpu

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

Vadim Demchik
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October 28, 2010 by hgpu

Oct-tree Method on GPU

N. Nakasato
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October 27, 2010 by hgpu

Monte Carlo simulations on Graphics Processing Units

Vadim Demchik, Alexei Strelchenko
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October 27, 2010 by hgpu

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU
GSParLib

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism
Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3
KSig: GPU-accelerated computation of popular time series kernels

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel
IterApp: Iterative Application Skeleton

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs
SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs
LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations
Anari-visionaray

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI
PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

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
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