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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

Analysis and Comparison of Performance and Power Consumption of Neural Networks on CPU, GPU, TPU and FPGA

Christopher Noel Hesse

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Tags: Benchmarking, Computer science, Deep learning, FPGA, Neural networks, nVidia, nVidia DGX-1, nVidia GeForce RTX 2070, nVidia Jetson Nano, Performance, Tesla V100

December 5, 2021 by hgpu

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang

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Tags: ARM, CNN, Compilers, Computer science, Deep learning, Machine learning, Neural networks, nVidia, nVidia Jetson Nano, OpenCL, Package

July 7, 2019 by hgpu

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PipeCNN: An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

An OpenCL-Based FPGA Accelerator for Faster R-CNN

MFC: High-fidelity multiphase flow simulation

Early Application Experiences on a Modern GPU-Accelerated Arm-based HPC Platform

Magicube

Efficient Quantized Sparse Matrix Operations on Tensor Cores

Morpheus: Dynamic matrix type and algorithms for sparse matrices

Exploiting dynamic sparse matrices for performance portable linear algebra operations

Energon-AI: Large-scale model inference

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models

segTACO

Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU

ScalSALE: Scalable SALE Benchmark Framework for Supercomputers

SCALSALE: Scalable SALE Benchmark Framework for Supercomputers

Lina: High Level Analysis Tool for FPGA Accelerators

Lina: a fast design optimisation tool for software-based FPGA programming

GEVO: GPU code optimization using EVOlutionary computation

Understanding the Power of Evolutionary Computation for GPU Code Optimization

GPU Multiversion B-Tree

Fully Concurrent GPU Data Structures

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