GPU-GRAPHICS PROCESSING UNIT-2020


A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles.

Graphics Processing Unit Based Match and Locate ( GPU ML): An Improved Match and Locate Method and Its Application
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Microearthquake detection and location are critical for understanding earthquake mechanisms and mitigating seismic hazards. Match and locate (ML) is an effective method for simultaneously detecting and locating small earthquakes. However, the heavy

GPU empowered pipelines for calculating genome-wide kinship matrices with ultra-high dimensional genetic variants and facilitating 1D and 2D GWAS
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Genome-wide association study (GWAS) is a powerful approach that has revolutionized the field of quantitative genetics. Two-dimensional GWAS that accounts for epistatic genetic effects needs to consider the effects of marker pairs, thus quadratic genetic variants

Accelerating the Cloud Scheme Within the Unified Model for CPU- GPU Based High-Performance Computing Systems
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Page 1. ORNL is managed by UT-Battelle, LLC for the US Department of Energy Accelerating the Cloud Scheme Within the Unified Model for CPU- GPU Based High-Performance Computing Systems Wei Zhang, Min Xu, Mario Morales Hernandez, Matthew Norman, Salil Maha and

Griffin: Hardware-Software Support for Efficient Page Migration in Multi- GPU Systems
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As transistor scaling becomes increasingly more difficult to achieve, scaling the core count on a single GPU chip has also become extremely challenging. As the volume of data to process in todays increasingly parallel workloads continues to grow unbounded, we need to

A Non-Linear GPU Performance Modeling Approach and Consolidated Linear Hardware Model Performance Evaluation of the LEAP Cluster
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This document discusses the evaluation of a consolidated linear performance model of Texas State Universitys HPC LEAP Cluster, and the development of a non-linear model to represent the performance of the NVIDIA V100 Graphics Processing Unit ( GPU ). The

Towards GPU -Accelerated PRM for Autonomous Navigation
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Sampling based planning is an important step for long-range navigation for an autonomous vehicle. This work proposes a GPU -accelerated sampling based path planning algorithm which can be used as a global planner in autonomous navigation tasks. A modified version

GPU -accelerated dynamic programming for join-order optimization
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Relational databases need to select efficient join orders, as inefficient join orders can increase the query execution time by several orders of magnitude. To select efficient join orders, relational databases can apply an exhaustive search using dynamic programming

GPU -based Real-time Cloth Simulation for Virtual Try-on
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We present a novel real-time approach for dynamic detailed clothing simulation on a moving body with local driving and parallel processing. The most distinctive feature of our method is that it divides dynamic simulation into two parts: local driving and static cloth simulation. In