Results 61 to 70 of about 175,847 (284)
Advances in GPU architecture for deep learning and scientific computing [PDF]
, 2016 The talk will cover the recent NVIDIA product announcements made at the GTC'16 conference, and how the Pascal GPU and NVLink interconnect technologies greatly improve multi-GPU performance and efficiency in deep learning and scientific computing ...
Parienté, Frédéric
core
PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation
, 2011 High-performance computing has recently seen a surge of interest in heterogeneous systems, with an emphasis on modern Graphics Processing Units (GPUs).
Ahmed Fasih +36 more
core +1 more source
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
A GPU Heterogeneous Cluster Scheduling Model for Preventing Temperature Heat Island
ITM Web of Conferences, 2017 With the development of GPU general-purpose computing, GPU heterogeneous cluster has become a widely used parallel data processing solution in modern data center.
Cao Yun-Peng, Wang Hai-Feng
doaj +1 more source
Buildings, 2023 With the development of engineering technology, engineering has higher requirements for the accuracy and the scale of simulation calculation. The computational efficiency of traditional serial programs cannot meet the requirements of engineering ...
Xuerui Zheng +4 more
doaj +1 more source
Join Execution Using Fragmented Columnar Indices on GPU and MIC [PDF]
, 2015 The paper describes an approach to the parallel natural join execution on computing clusters with GPU and MIC Coprocessors. This approach is based on a decomposition of natural join relational operator using the column indices and domain-interval ...
Ivanova, E. V. +2 more
core
Atomic Layer Deposition in Transistors and Monolithic 3D Integration
Advanced Functional Materials, EarlyView.Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu +5 more
wiley +1 more source
Survey of using GPU CUDA programming model in medical image analysis
Informatics in Medicine Unlocked, 2017 With the technology development of medical industry, processing data is expanding rapidly and computation time also increases due to many factors like 3D, 4D treatment planning, the increasing sophistication of MRI pulse sequences and the growing ...
T. Kalaiselvi +2 more
doaj +1 more source
An Efficient Parallel Framework for the Discrete Element Method Using GPU
Applied Sciences, 2022 The discrete element method (DEM), a discontinuum-based method to simulate the interaction between neighbouring particles of granular materials, suffers from intensive computational workload caused by massive particle numbers, irregular particle shapes ...
Youkou Dong, Dingtao Yan, Lan Cui
doaj +1 more source
Performance and toolchain of a combined GPU/FPGA desktop [PDF]
, 2013 Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculations. Combining the power of GPUs with the flexibility of FPGAs enlarges the scope of problems that can be accelerated.
Braeken, An +5 more
core +1 more source