Kernel Bypass and User-space Network Frameworks for High-Performance Computing Workloads

Communication-intensive high-performance computing applications demand low latency and very high network throughput. In order to meet these needs, the hardware capabilities of modern commodity servers have been steadily advancing. Moreover, the network bandwidth has significantly increased (i.e., 400-100GbE ) to outpace the processor speed. Traditionally, applications use socket API and rely on the kernel for network communication. However, it incurs high overheads due to resource contention, context switch and packet copy operations, which make the network stack a bottleneck. Notably, while the packet I/O have scaled up to tens of millions of packets per second (pps), the TCP processing is reported at 0.3 million transactions per second [1] .

Authors

Institutions

Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/hipcw63042.2024.00071
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kernel Bypass and User-space Network Frameworks for High-Performance Computing Workloads

Chirag Modi, Sameer G. Kulkarni
Distributed and Parallel Computing Systems
article

Kernel Bypass and User-space Network Frameworks for High-Performance Computing Workloads

Chirag Modi, Sameer G. Kulkarni
article en

Abstract

Communication-intensive high-performance computing applications demand low latency and very high network throughput. In order to meet these needs, the hardware capabilities of modern commodity servers have been steadily advancing. Moreover, the network bandwidth has significantly increased (i.e., 400-100GbE ) to outpace the processor speed. Traditionally, applications use socket API and rely on the kernel for network communication. However, it incurs high overheads due to resource contention, context switch and packet copy operations, which make the network stack a bottleneck. Notably, while the packet I/O have scaled up to tens of millions of packets per second (pps), the TCP processing is reported at 0.3 million transactions per second [1] .

Indian Institute of Technology Gandhinagar (IN)
Openalex Percentile: Top 67%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.