Results 31 to 40 of about 144,621 (325)
Leida xuebao, 2017 High-resolution synthetic aperture radar presents a significant challenge to imaging algorithms and computing power. Slide spotlight is an important mode that has both high resolution and wide azimuth swath.
Tang Jiangwen +4 more
doaj +1 more source
SU(2) Lattice Gauge Theory Simulations on Fermi GPUs [PDF]
, 2011 In this work we explore the performance of CUDA in quenched lattice SU(2) simulations. CUDA, NVIDIA Compute Unified Device Architecture, is a hardware and software architecture developed by NVIDIA for computing on the GPU.
Bhanot +14 more
core +1 more source
The Potential of the Intel Xeon Phi for Supervised Deep Learning
, 2015 Supervised learning of Convolutional Neural Networks (CNNs), also known as supervised Deep Learning, is a computationally demanding process. To find the most suitable parameters of a network for a given application, numerous training sessions are ...
Pllana, Sabri, Viebke, Andre
core +1 more source
HaTS: Hardware-Assisted Transaction Scheduler [PDF]
, 2020 In this paper we present HaTS, a Hardware-assisted Transaction Scheduler. HaTS improves performance of concurrent applications by classifying the executions of their atomic blocks (or in-memory transactions) into scheduling queues, according to their so ...
Chen, Zhanhao +4 more
core +1 more source
Parallel density matrix propagation in spin dynamics simulations
, 2011 Several methods for density matrix propagation in distributed computing environments, such as clusters and graphics processing units, are proposed and evaluated.
Ernst R. R. +3 more
core +1 more source
Responsive parallel computation: bridging competitive and cooperative threading [PDF]
ACM SIGPLAN Notices, 2017 Competitive and cooperative threading are widely used abstractions in computing. In competitive threading, threads are scheduled preemptively with the goal of minimizing response time, usually of interactive applications. In cooperative threading, threads are scheduled non-preemptively with the goal of maximizing throughput or minimizing the completion
Stefan K. Muller +2 more
openaire +1 more source
Parallel SaNSDE for Many-Core Sunway Processor
Jisuanji kexue yu tansuo, 2021 Evolutionary algorithm is an important method for solving large-scale optimization problems, which is widely applied to machine learning, process control, engineering optimization, management science, and social sciences.
KANG Shang, QIAN Xuezhong, GAN Lin
doaj +1 more source
Multibody Dynamics Model of a Human Hand for Haptics Interaction [PDF]
, 2008 In this paper we propose a strategy for modelling a human hand for Haptics interaction. The strategy consists in a parallel computing architecture that calculates the dynamics of a hand; this is accomplished by computing the dynamics of each finger in a ...
Aracil Santonja, Rafael +5 more
core +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
FEBS Letters, EarlyView.The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
End-to-end programmable computing systems
Communications Engineering, 2023 Recent technological advances have contributed to the rapid increase in algorithmic complexity of applications, ranging from signal processing to autonomous systems.
Yao Xiao +6 more
doaj +1 more source