Results 51 to 60 of about 21,055,470 (353)
Exploiting the parallelism in multiprocessor systems is a major challenge in modern computer science. Multicore programming demands a change in the way we design and use fundamental data structures.
Damian Dechev+2 more
doaj +1 more source
Massively-Parallel Lossless Data Decompression
Today's exponentially increasing data volumes and the high cost of storage make compression essential for the Big Data industry. Although research has concentrated on efficient compression, fast decompression is critical for analytics queries that ...
Kaldewey, Tim+4 more
core +1 more source
Multilog and data or-parallelism
AbstractThis paper describes the design, implementation, performance, and analysis of MultiLog—a logic programming system whose distinguishing feature is the presence of multiple, concurrent binding environments (multiple substitutions) with a single thread of control.
openaire +2 more sources
Benefits of Open Quantum Systems for Quantum Machine Learning
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio+2 more
wiley +1 more source
SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics [PDF]
We introduce a new relativistic astrophysics code, SpECTRE, that combines a discontinuous Galerkin method with a task-based parallelism model. SpECTRE's goal is to achieve more accurate solutions for challenging relativistic astrophysics problems such as
Bohn, Andy+13 more
core +2 more sources
Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li+3 more
wiley +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source
Collective Communication Performance Evaluation for Distributed Deep Learning Training
In distributed deep learning, the improper use of the collective communication library can lead to a decline in deep learning performance due to increased communication time.
Sookwang Lee, Jaehwan Lee
doaj +1 more source
Capillary‐Driven 3D Open Fluidic Networks for Versatile Continuous Flow Manipulation
The capillary‐driven 3D open fluidic networks (OFNs), composed of connected polyhedral frames, enable precise, programmable, and versatile manipulation of unary, binary, and multiple continuous flows in both spatial and temporal dimensions. OFNs represent a significant leap beyond conventional microfluidics, unlocking new possibilities for selective ...
Shuangmei Wu+4 more
wiley +1 more source
Efficient electro-magnetic analysis of a GPU bitsliced AES implementation
The advent of CUDA-enabled GPU makes it possible to provide cloud applications with high-performance data security services. Unfortunately, recent studies have shown that GPU-based applications are also susceptible to side-channel attacks.
Yiwen Gao, Yongbin Zhou, Wei Cheng
doaj +1 more source