Results 201 to 210 of about 7,208 (264)

Toward intelligent IoT scheduling with quantum-inspired latent models for energy and latency optimization. [PDF]

Sci Rep
Alyas T, Abbas Q, Hayat A, Nawaz W, Alshanqiti A, Almoamari H, Ibrahim AM.   +6 more
europepmc   +1 more source

Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network. [PDF]

Front Neurosci
Haverkort BF, Todri-Sanial A.
europepmc   +1 more source

Identifying and subtyping dyscalculia in a sample of children with and without dyscalculia - a data-driven approach. [PDF]

Front Psychol
Kißler C, Kuhn JT.
europepmc   +1 more source

Painting rich six-dimensional pictures using polarized fluorescence microscopy. [PDF]

Proc Natl Acad Sci U S A
Lew MD.
europepmc   +1 more source

Performance and energy optimization of ternary optical computers based on tandem queuing system. [PDF]

Sci Rep
Zhang H, Liu M, Liu W, Shi W, Li S, Zhang J, Wang X.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Task parallel assembly language for uncompromising parallelism

Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021
Achieving parallel performance and scalability involves making compromises between parallel and sequential computation. If not contained, the overheads of parallelism can easily outweigh its benefits, sometimes by orders of magnitude. Today, we expect programmers to implement this compromise by optimizing their code manually.
Mike Rainey, Ryan R. Newton, Kyle Hale, Nikos Hardavellas, Simone Campanoni, Peter Dinda, Umut A. Acar   +6 more
openaire   +1 more source

Parallelization using task parallel library with task-based programming model

2014 IEEE 5th International Conference on Software Engineering and Service Science, 2014
In order to reduce the complexity of traditional multithreaded parallel programming, this paper explores a new task-based parallel programming using the Microsoft .NET Task Parallel Library (TPL). Firstly, this paper proposes a custom data partitioning optimization method to achieve an efficient data parallelism, and applies it to the matrix ...
Xinhong Hei, Jinlong Zhang, Bin Wang, Haiyan Jin, Nasser Giacaman   +4 more
openaire   +1 more source

Extracting task-level parallelism

ACM Transactions on Programming Languages and Systems, 1995
Automatic detection of task-level parallelism (also referred to as functional, DAG, unstructured, or thread parallelism) at various levels of program granularity is becoming increasingly important for parallelizing and back-end compilers.
Milind Girkar, Constantine D. Polychronopoulos   +1 more
openaire   +1 more source

Streaming Task Parallelism

Proceedings of the 29th ACM on International Conference on Supercomputing, 2015
Stream computing is often associated with regular, data-intensive applications, and more specifically with the family of cyclo-static data-flow models. The term also refers to bulk-synchronous data parallelism on SIMD architectures. Both interpretations are valid but incomplete: streams underline the formal definition of Kahn process networks, a ...
openaire   +2 more sources