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Blockchain Goes Green? Part II: Characterizing the Performance and Cost of Blockchains on the Cloud and at the Edge

Dumitrel Loghin, Tien Tuan Anh Dinh, Aung Maw, Chen Gang, Yong Meng Teo, Beng Chin Ooi

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Tags: Cloud, Computer science, Finance, nVidia, nVidia Jetson TX2, Package

May 22, 2022 by hgpu

Deep Learning for Digital Asset Limit Order Books

Rakshit Jha, Mattijs De Paepe, Samuel Holt, James West, Shaun Ng

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Tags: Deep learning, Finance, Package, Python

October 11, 2020 by hgpu

A Domain Specific Approach to Heterogeneous Computing: From Availability to Accessibility

Gordon Inggs, David Thomas, Wayne Luk

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Tags: Computational finance, Finance, FPGA, Heterogeneous systems, OpenCL, Option pricing, Package, Python

August 23, 2014 by hgpu

GPU Computing in Economics

Eric M. Aldrich

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Tags: CUDA, Finance, nVidia, Package, Review, Tesla C2075

July 20, 2013 by hgpu

Accelerating Financial Applications on the GPU

Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos

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Tags: Computational finance, CUDA, Finance, nVidia, OpenACC, OpenCL, Package, Review, Tesla C2050, Tesla K20

May 6, 2013 by hgpu

ClusCo: clustering and comparison of protein models

Jamroz Michal, Kolinski Andrzej

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Tags: Biology, Biomolecules, Clustering, Computational Engineering, CUDA, Finance, nVidia, nVidia GeForce GTX 470, Package

February 20, 2013 by hgpu

Massively Parallel Computing in Economics

Eric M. Aldrich

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Tags: CUDA, Finance, nVidia, Package, Review, Stochastic simulation, Tesla C2075

February 15, 2013 by hgpu

Tapping the supercomputer under your desk: Solving dynamic equilibrium models with graphics processors

Eric M. Aldrich, Jesus Fernandez-Villaverde, A. Ronald Gallant, Juan F. Rubio-Ramirez

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 280, Package

November 18, 2011 by hgpu

Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control

Sergei Morozov, Sudhanshu Mathur

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Tags: CUDA, Finance, Fortran, Machine learning, nVidia, nVidia GeForce GTX 280, Package

October 21, 2011 by hgpu

High-performance bankruptcy prediction model using Graphics Processing Units

Bernardete Ribeiro, Noel Lopes, Catarina Silva

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Tags: Finance, Neural networks, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Package

July 16, 2011 by hgpu

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Eric M. Aldrich, Jesus Fernandez-Villaverde, A. Ronald Gallant, Juan F. Rubio-Ramirez

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Tags: CUDA, Finance, nVidia, nVidia GeForce GTX 280, Package, Tesla C1060

January 9, 2011 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Packages

Deep Learning for Digital Asset Limit Order Books

A Domain Specific Approach to Heterogeneous Computing: From Availability to Accessibility

GPU Computing in Economics

Accelerating Financial Applications on the GPU

ClusCo: clustering and comparison of protein models

Massively Parallel Computing in Economics

Tapping the supercomputer under your desk: Solving dynamic equilibrium models with graphics processors

Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control

High-performance bankruptcy prediction model using Graphics Processing Units

Tapping the supercomputer under your desk: solving dynamic equilibrium models with graphics processors?

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

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

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