Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 80 tok/s
Gemini 2.5 Pro 28 tok/s Pro
GPT-5 Medium 32 tok/s Pro
GPT-5 High 38 tok/s Pro
GPT-4o 125 tok/s Pro
Kimi K2 181 tok/s Pro
GPT OSS 120B 462 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Offloading MPI Parallel Prefix Scan (MPI_Scan) with the NetFPGA (1408.4939v1)

Published 21 Aug 2014 in cs.DC

Abstract: Parallel programs written using the standard Message Passing Interface (MPI) frequently depend upon the ability to efficiently execute collective operations. MPI_Scan is a collective operation defined in MPI that implements parallel prefix scan which is very useful primitive operation in several parallel applications. This operation can be very time consuming. In this paper, we explore the use of hardware programmable network interface cards utilizing standard media access protocols for offloading the MPI_Scan operation to the underlying network. Our work is based upon the NetFPGA - a programmable network interface with an on-board Virtex FPGA and four Ethernet interfaces. We have implemented a network-level MPI_Scan operation using the NetFPGA for use in MPI environments. This paper compares the performance of this implementation with MPI over Ethernet for a small configuration.

Citations (3)

Summary

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

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

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

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube