Topic · Hardware and Architecture
Parallel Computing and Optimization Techniques
Parallel Computing and Optimization Techniques is a research topic within Hardware and Architecture. Science Explorer counts 79k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
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.
- Parallel Computing
- Performance Optimization
- GPU Computing
- Multicore Architectures
- Memory Systems
- Benchmarking
- Power Management
- Simulation Platforms
- Heterogeneous Computing
- High-Performance Computing
- Research works
- 79k fractional, since 1950
- In the world top 10%
- 7.8k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -2% the tick is no change
- Largest producer
United States
32% of the 10 largest, 2022-now
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