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Parallel Computing and Optimization Techniques

TopicLeading institutions, researchers & key papers

Parallel Computing and Optimization Techniques is a topic indexed in ScholarIQ from OpenAlex.

What is known about Parallel Computing and Optimization Techniques?

ScholarIQrecord summary

This cluster of papers focuses on parallel computing, performance optimization, and various aspects of multicore and heterogeneous computing. It covers topics such as GPU computing, memory systems, benchmarking, power management, simulation platforms, and high-performance computing.

How many works does Parallel Computing and Optimization Techniques have?

ScholarIQindexed works

Parallel Computing and Optimization Techniques has 205,137 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Parallel Computing and Optimization Techniques have?

ScholarIQcitation count

Parallel Computing and Optimization Techniques has 2,330,096 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Parallel Computing and Optimization Techniques?

ScholarIQopenalex

The OpenAlex for Parallel Computing and Optimization Techniques is on the source record.

Who are the most-cited researchers behind Parallel Computing and Optimization Techniques?

ScholarIQtop researchers by citations
1
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
2
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
3
Ilya Sutskever · Topic Modeling
109 works221,967 citations
4
G. Mitselmakher · Particle physics theoretical and experimental studies
2,586 works221,403 citations
5
Oriol Vinyals · Topic Modeling
213 works176,917 citations

Where is Parallel Computing and Optimization Techniques research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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