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Compression Acceleration Using GPGPU

2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW), 2016
The CPU has become a bottleneck for bigdata solutions that have to deal with increasingly large and varied data. Two approaches for dealing with this bottleneck have generated considerable interest amongst researchers in the recent past. The first approach is the building of heterogeneous systems that offload a part of the computational workload to co ...
Krishnaprasad Shastry   +3 more
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Topology Optimization Using GPGPU

2018
In this paper we present a matrix-free geometric multigrid method for solving a linear system of equations needed at every iteration of the topology optimization process. The multigrid solver is parallelized on an Nvidia graphics card using CUDA, therefore reducing simulation time drastically. This enables users to derive optimal topologies represented
Stefan Gavranovic   +2 more
openaire   +1 more source

???????????????????????????? ?????????? ???????????????????????? ?????????????????????? ?? ???????????????????? GPGPU

2018
?????????????????????????? ?????????? ?????????????????????? ?????????????????????????? ????????????, ???? ???????????????????????????? ?????????????????????????????????? ????????????????????, ???????? ?????????????????????? ???? ?????????????? ???????????????????????? ???????????? (???????????????????? ???????????? ??????????????????). ????????????????
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GPGPU-säteenseuranta

2012
Ray tracing is a parallel and computationally intensive way of producing three dimensional computer graphics. General-purpose graphics processing units (GPGPU) are powerful parallel processors that can be utilized for accelerating ray tracing. This bachelor's thesis discusses about implementing ray tracer on GPGPU and presents a structure for a simple ...
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Advancements in GPGPU computing

2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT), 2017
Graphic Processing Units have emerged as a popular platform for many computationally expensive tasks. The availability of hundreds to thousands of cores embedded together using shared memory, provides enhanced speed for many parallel programs. Motivated by this inherent parallelism in GPUs, General Purpose Graphic Processing Unit (GPGPU) computing has ...
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?????????????? ?????????????????????? ????????????????????????????. ???????????????????? GPGPU. ?????????????? 2

2015
General principles of a shared and distributed memory are described in detail for NVidia CUDA technology. Basic patterns of the thread interaction and globals synchronization problems are analyzed. A comparative analysis of the main GPGPU technologies ??? Nvidia CUDA, OpenCL, Direct Compute ??? has been provided.
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?????????????? ?????????????????????? ????????????????????????????. ???????????????????? GPGPU. ?????????????? 1

2015
?????????????????? ???????????????????????? ???????????? ???????????????? ???????????????????? ???????????????????????????? Tesla, Fermi ???? Kepler ?? ???????????????????????????????? ?????????????? ?????????????????? ?????????????????????? NVidia CUDA. ?????????????????? ?????????????? ???????????? ???????????? ?? ???????????????????? ??????'????????.
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S07---GPGPU

Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06, 2006
David Luebke   +8 more
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Cryptography Using GPGPU

2023
Swati Jadhav   +4 more
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GPGPU Accelerated Flow Diagrams

Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters, 2021
Daniel Bird, Stephen Laycock
openaire   +1 more source

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