Results 51 to 60 of about 158,911 (285)
Advanced Materials Technologies, EarlyView.Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley +1 more source
IEEE Access, 2013 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
OpenCL Actors - Adding Data Parallelism to Actor-based Programming with CAF
, 2017 The actor model of computation has been designed for a seamless support of concurrency and distribution. However, it remains unspecific about data parallel program flows, while available processing power of modern many core hardware such as graphics ...
A Klöckner +10 more
core +1 more source
Ultralow Loss Coupling Tuning of Photonic Accelerators
Advanced Photonics Research, EarlyView.A polymer material cured by electron beam is used to perform precise and ultralow loss tuning on photonic accelerators made for highly efficient computation. The versatility of the technique is demonstrated on a large number of directional coupler devices with varying initial coupling ratios and application on a crossbar array for matrix multiplication
Zhongyu Tang +5 more
wiley +1 more source
The Potential of Synergistic Static, Dynamic and Speculative Loop Nest Optimizations for Automatic Parallelization [PDF]
, 2010 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
Threads and Or-Parallelism Unified
, 2010 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]
, 1993 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
Future InternetMassive 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
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
Advanced Science, EarlyView.TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
The VolumePro Volume Rendering Cluster: A Vital Component of Parallel End-to-End Solution [PDF]
, 2003 As data sets, both acquired from scanners and those generated from complex simulations, grow in size and complexity, researchers continue to push the boundaries of the amount of data that can be viewed, processed and analyzed interactively.
Lombeyda, Santiago, McCorquodale, John
core