Results 281 to 290 of about 5,251,663 (307)
Some of the next articles are maybe not open access.

Resource-Agnostic Programming for Many-Core Microgrids

2011
Many-core architectures are a commercial reality, but programming them efficiently is still a challenge, especially if the mix is heterogeneous. Here granularity must be addressed, i.e. when to make use of concurrency resources and when not to. We have designed a data-driven, fine-grained concurrent execution model (SVP) that captures concurrency in a ...
Thomas A. M. Bernard   +4 more
openaire   +2 more sources

1Teaching many-core programming

10th European Workshop on Microelectronics Education (EWME), 2014
Leonidas Tsiopoulos   +4 more
openaire   +1 more source

Many-Core Processors

2021
Venkata Dinavahi, Ning Lin
openaire   +1 more source

Adaptive Many-Core Machines

2015
The previous chapters presented a number of novel Machine Learning algorithms and high-performance implementations of existing ones with data scalability in mind. The rationale is to increase their practical applicability to largescale ML problems. The common underlying thread has been the recent progress in usability, cost effectiveness and diversity ...
Noel Lopes, Bernardete Ribeiro
openaire   +1 more source

Many-Core Graph Workload Analysis

SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, 2018
Stijn Eyerman   +4 more
openaire   +2 more sources

Modelling many-core architectures

2019
Architectural modelling has two primary objectives: (1) navigating the design space exploration, i.e. guiding the architects to arrival at better design choices, and (2) facilitating dynamic management, i.e. providing the functional relationships between workloads'characteristics and architectural configurations to enable appropriate runtime hardware ...
openaire   +1 more source

Practical Many-Core Programming

2011
In the previous chapters we introduced the foundations for programming many-core chips: current and expected hardware architectures; operating system designs; foundations of parallel programming; the basic programming models that we believe are the most promising ones in the context of many-core chips.
openaire   +1 more source

Bubble Budgeting: Throughput Optimization for Dynamic Workloads by Exploiting Dark Cores in Many Core Systems

IEEE Transactions on Computers, 2018
Xiaohang Wang   +2 more
exaly  

Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores

IEEE Transactions on Computers, 2020
Martin Rapp, Mark Sagi, Anuj Pathania
exaly  

Highly Parallel Line-Based Image Coding for Many Cores

IEEE Transactions on Image Processing, 2012
Xiulian Peng, Jizheng Xu
exaly  

Home - About - Disclaimer - Privacy