Results 51 to 60 of about 178,091 (333)
Redesigning OP2 Compiler to Use HPX Runtime Asynchronous Techniques [PDF]
Maximizing parallelism level in applications can be achieved by minimizing overheads due to load imbalances and waiting time due to memory latencies. Compiler optimization is one of the most effective solutions to tackle this problem.
Kaiser, Hartmut+2 more
core +3 more sources
Brain‐Inspired In‐Memory Data Pruning and Computing with TaOx Mem‐Selectors
In article number 2502168, Zhongrui Wang, Xiaoxin Xu, Dashan Shang, and co‐workers present the first nanoscale Mem‐Selector device that integrates both nonvolatile resistive memory and volatile threshold switching functionalities for visual data pruning.
Yi Li+15 more
wiley +1 more source
Threads and Or-Parallelism Unified
One of the main advantages of Logic Programming (LP) is that it provides an excellent framework for the parallel execution of programs. In this work we investigate novel techniques to efficiently exploit parallelism from real-world applications in low ...
Carro+12 more
core +1 more source
DFLOPS: A Data Flow Machine for Production Systems [PDF]
Many production system machines have been proposed to speed up the execution of production system programs. Most of them are implemented based on conventional control flow model of execution which is limited by the "von Neumann bottleneck." In this paper
Cheng, Fu-Chiung, Wu, Mei-Yi
core +2 more sources
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
Massive computational resources are required by a booming number of artificial intelligence (AI) services in the communication network of the smart grid.
Jing Zou+5 more
doaj +1 more source
Exploring Various Levels of Parallelism in High-Performance CRC Algorithms
Modern processors have increased the capabilities of instruction-level parallelism (ILP) and thread-level parallelism (TLP). These resources, however, typically exhibit poor utilization on conventional cyclic redundancy check (CRC) algorithms.
Mucong Chi, Dazhong He, Jun Liu
doaj +1 more source
Additive Manufacturing of Neuromorphic Systems
The crossover of additive Manufacturing (AM) and neuromorphic engineering promises a new paradigm in the fabrication of intelligent hardware—one that is sustainable, scalable, cost‐efficient, and customizable. The AM‐printed neuromorphic hardware (electronics and mechanical systems) is examined, and we discussed the technological integration.
Jiongyi Yan+3 more
wiley +1 more source
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
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization [PDF]
Research in automatic parallelization of loop-centric programs started with static analysis, then broadened its arsenal to include dynamic inspection-execution and speculative execution, the best results involving hybrid static-dynamic schemes.
Baghdadi, Riyadh+4 more
core +4 more sources