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Real-Time High-Performance Computing for Embedded Control Systems

Alejandro Josué Calderón Torres

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Tags: Code generation, Computer science, Embedded high-performance computing, nVidia, nVidia Jetson AGX Xavier, nVidia Jetson Nano, nVidia Jetson TX2, OpenCL, Tesla T4, Tesla V100, Thesis

August 7, 2022 by hgpu

CitiusSynapse: A Deep Learning Framework for Embedded Systems

Seungtae Hong, Hyunwoo Cho, Jeong-Si Kim

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Tags: Computer science, Deep learning, Embedded high-performance computing, OpenCL

December 12, 2021 by hgpu

A Co-Design Framework with OpenCL Support for Low-Energy Wide SIMD Processor

Dongrui She, Yifan He, Luc Waeijen, Henk Corporaal

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Tags: Code generation, Compilers, Computer science, Embedded high-performance computing, OpenCL

September 24, 2015 by hgpu

Viability of Feature Detection on Sony Xperia Z3 using OpenCL

Max Danielsson, Thomas Sievert

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Source codes

Tags: Android, Computer science, Computer vision, Embedded high-performance computing, nVidia, nVidia GeForce GTX 660, OpenCL, Package, Thesis

August 24, 2015 by hgpu

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Luna Backes, Alejandro Rico, Bjorn Franke

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Tags: ARM, Computer science, Computer vision, Embedded high-performance computing, OpenCL

July 28, 2015 by hgpu

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

Sparsh Mittal

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Tags: Embedded high-performance computing, Energy-efficient computing, FPGA, GPU, Power-efficient computing

January 7, 2015 by sparsh0mittal

Automated Software Testing of Memory Performance in Embedded GPUs

Sudipta Chattopadhyay, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Embedded high-performance computing, GPGPU-sim, Memory, nVidia, Performance

September 19, 2014 by hgpu

Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets

Elena Aragon, Juan M. Jimenez, Arian Maghazeh, Jim Rasmusson, Unmesh D. Bordoloi

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Tags: Algorithms, ARM, Computer science, Embedded high-performance computing, OpenCL, Pattern Search

September 11, 2014 by hgpu

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Li Tian, Fugen Zhou, Cai Meng

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Tags: Computer science, DSP, Embedded high-performance computing, nVidia, OpenCL, Task scheduling

May 18, 2014 by hgpu

Accelerating Java on Embedded GPU

Iype P. Joseph

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Tags: Computer science, Embedded high-performance computing, Java, OpenCL, Thesis

March 15, 2014 by hgpu

High-Performance Energy-Efficient Multicore Embedded Computing

Arslan Munir, Sanjay Ranka, Ann Gordon-Ross

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Tags: Computer science, Embedded high-performance computing, Energy-efficient computing, Review

April 6, 2012 by hgpu

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead

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Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound

November 12, 2011 by hgpu

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

* * *

high performance computing on graphics processing units: hgpu.org

Real-Time High-Performance Computing for Embedded Control Systems

CitiusSynapse: A Deep Learning Framework for Embedded Systems

A Co-Design Framework with OpenCL Support for Low-Energy Wide SIMD Processor

Viability of Feature Detection on Sony Xperia Z3 using OpenCL

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

Automated Software Testing of Memory Performance in Embedded GPUs

Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Accelerating Java on Embedded GPU

High-Performance Energy-Efficient Multicore Embedded Computing

Evaluation of an accelerator architecture for Speckle Reducing Anisotropic Diffusion

Recent source codes

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

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