Parallel Computing and Optimization Techniques
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.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.
Most cited
- Fast Parallel Algorithms for Short-Range Molecular Dynamics
- fastp: an ultra-fast all-in-one FASTQ preprocessor
- The NumPy Array: A Structure for Efficient Numerical Computation
- Julia: A Fresh Approach to Numerical Computing
- Xen and the art of virtualization
- Cramming More Components Onto Integrated Circuits
Most recent
- مدخل إلى إعدادات المعالج لمطوري تطبيقات Windows: الأولوية، والانتماء (Affinity)، ونواة الأداء/نواة الكفاءة (archived 2026-09-02)
- ORCHA: A performance portability system for extreme heterogeneity
- Information-Entropy-Guided Counterfactual Stability Modeling and Replay-Based Selective Override for Context-Fragile Branch Prediction
- The Pentagonal CRT
- enerGyPU for Monitoring Performance and Power Consumption on Multi-GPUs Experimental Procedures and Results
- إعداد Processor scheduling في Windows: خدمات الخلفية وأنوية P/E (archived 2026-09-02)