Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
86 tokens/sec
Gemini 2.5 Pro Premium
43 tokens/sec
GPT-5 Medium
19 tokens/sec
GPT-5 High Premium
30 tokens/sec
GPT-4o
93 tokens/sec
DeepSeek R1 via Azure Premium
88 tokens/sec
GPT OSS 120B via Groq Premium
441 tokens/sec
Kimi K2 via Groq Premium
234 tokens/sec
2000 character limit reached

Parallelizing Bisection Root-Finding: A Case for Accelerating Serial Algorithms in Multicore Substrates (1805.07269v1)

Published 11 May 2018 in cs.DC

Abstract: Multicore architectures dominate today's processor market. Even though the number of cores and threads are pretty high and continues to grow, inherently serial algorithms do not benefit from the abundance of cores and threads. In this paper, we propose Runahead Computing, a technique which uses idle threads in a multi-threaded architecture for accelerating the execution time of serial algorithms. Through detailed evaluations targeting both CPU and GPU platforms and a specific serial algorithm, our approach reduces the execution latency up to 9x in our experiments.

Citations (2)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.