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Framework of Object Detection and Classification High Performance Using Video Analytics in Cloud
Video analytics framework detection performance is worked at cloud. Object detection and classification are the basic tasks in video analytics and become the initial point for other complex submission...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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DTIC ADA617675: Accelerated Prediction of the Polar Ice and Global Ocean (APPIGO)
Arctic change and reductions in sea ice are impacting Arctic communities and are leading to increased commercial activity in the Arctic. Improved forecasts will be needed at a variety of timescales to...
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cudaMap: a GPU accelerated program for gene expression connectivity mapping.
This article is from BMC Bioinformatics , volume 14 . Abstract Background: Modern cancer research often involves large datasets and the use of sophisticated statistical techniques. Together these add ...
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Complete PISO and SIMPLE solvers on Graphics Processing Units
We implemented the pressure-implicit with splitting of operators (PISO) and semi-implicit method for pressure-linked equations (SIMPLE) solvers of the Navier-Stokes equations on Fermi-class graphics p...
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Human activity recognition method using joint deep learning and acceleration signal
Many studies have been conducted on human activity recognition (HAR) in the last decade. Accordingly, deep learning algorithms have been given more attention in terms of classification of human daily ...
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Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics
In many graphics applications, the computation of exact geodesic distance is very important. However, the high computational cost of the existing geodesic algorithms means that they are not practical ...
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Ray Tracing Gems
High-Quality and Real-Time Rendering with DXR and Other APIs...
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TensorFlow Roadmap
Mastering the TensorFlow by knowing where to start...
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Spotting Radio Transients with the help of GPUs
Exploration of the time-domain radio sky has huge potential for advancing our knowledge of the dynamic universe. Past surveys have discovered large numbers of pulsars, rotating radio transients and ot...
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GPU acceleration of the particle filter: the Metropolis resampler
We consider deployment of the particle filter on modern massively parallel hardware architectures, such as Graphics Processing Units (GPUs), with a focus on the resampling stage. While standard multin...
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NASA Technical Reports Server (NTRS) 20170006038: Graphics Processor Units (GPUs)
This presentation will include information about Graphics Processor Units (GPUs) technology, NASA Electronic Parts and Packaging (NEPP) tasks, The test setup, test parameter considerations, lessons le...
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Fast k-NNG Construction with GPU-Based Quick Multi-Select.
This article is from PLoS ONE , volume 9 . Abstract In this paper, we describe a new brute force algorithm for building the -Nearest Neighbor Graph (k-NNG). The k-NNG algorithm has many applications i...
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DTIC ADA616545: RRTMGP: A High-Performance Broadband Radiation Code for the Next Decade
The radiation calculations needed for climate simulations require many independent and complicated calculations, and are therefore an inviting target for new computing architectures such as Many- Inte...
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Metaprogramming GPUs with Sh
First published in 2004...
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DTIC ADA598040: An Xdata Architecture for Federated Graph Models and Multi-tier Asymmetric Computing
Scalable, data-parallel graph analytics on GPUs is a fundamentally hard problem that goes beyond the current state of the art. Scalable graph analytics are critical for a large range of application do...
View Book →Programming Your GPU with OpenMP
First published in 2023...
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Parallel mutual information estimation for inferring gene regulatory networks on GPUs.
This article is from BMC Research Notes , volume 4 . Abstract Background: Mutual information is a measure of similarity between two variables. It has been widely used in various application domains in...
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EINPresswire 599297740 Data Center Liquid Immersion Cooling Market The Emergence Of Hyper Scale Data
Data analytics is heavily utilized in the fields of blockchain and cryptocurrency as well. Traditionally, air cooling systems were used in data centers but with CPUs and GPUs being churned out with mo...
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Intelligent Exercise System
GPU design trends show that the register file size will continue to increase to enable even more thread level parallelism. As a result register file consumes a large fraction of the total GPU chip pow...
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Congress Trades Disabled Lives For AI
The evidence is brutally simple. A captured regime is simultaneously dismantling Social Security Disability Insurance and auctioning U.S. residency to foreign capital while pouring 500 billion dollars...
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Coupling SIMD and SIMT architectures to boost performance of a phylogeny-aware alignment kernel.
This article is from BMC Bioinformatics , volume 13 . Abstract Background: Aligning short DNA reads to a reference sequence alignment is a prerequisite for detecting their biological origin and analyz...
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fast_protein_cluster: parallel and optimized clustering of large-scale protein modeling data.
This article is from Bioinformatics , volume 30 . Abstract Motivation: fast_protein_cluster is a fast, parallel and memory efficient package used to cluster 60 000 sets of protein models (with up to 5...
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DTIC ADA624786: A Review of Element-Based Galerkin Methods for Numerical Weather Prediction
Numerical Weather Prediction (NWP) is in a period of transition. As resolutions increase, global models are moving towards fully nonhydrostatic dynamical cores, with the local and global models using ...
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