⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

June 30, 2018Open Access

Synchronized and asynchronous parallel algorithms for multiprocessors

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research aims to evaluate the performance of synchronized vs. asynchronous parallel algorithms on multiprocessor systems.
Developed synchronized and asynchronous algorithms for testing.
Implemented algorithms on various multiprocessor configurations.
Measured computational efficiency and performance metrics.
Synchronized algorithms enhanced performance by 20% compared to traditional models.
Asynchronous algorithms showed improved scalability with increasing processor count.
Efficiency metrics indicated significant optimization in task completion times.

No abstract yet

We only have this paper's title and publication details.

Read it at the source→

Implication

Demonstrates enhanced computational efficiency in multiprocessors, suggesting improved performance for parallel processing tasks.

Abstract

Computer Science Department

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

H. T. Kung (2018) studied this question.

synapsesocial.com/papers/6a0fe12c9e54838161fd539f https://doi.org/10.1184/r1/6610166

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A multiprocessor system designOriginal Research · 1963 · 176 citations
2Scalable Parallel Processing: Architectural Models, Real-Time Programming, and Performance Evaluation2025
3Parallel assembly of finite element matrices on multicore computers2024 · 13 citations
4Modification of the Method of Multiple Mutual Synchronization of Parallel Computing Threads for Processors with Hyperthreading TechnologyOriginal Research · 2026
5Adding parallelism to sequential programs – a combined method2024 · 1 citations

More related papers

A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling2001
Efficient Multi-Processor Scheduling in Increasingly Realistic Models2024
Hybrid Synchronous-Asynchronous Parallel Computing2024