Overview

Welcome to the Network-Based Computing (NBC) Laboratory at the Computer Science and Engineering Department!

Many state-of-the-art and exciting research projects are being carried out by various members of the group, including:

The MVAPICH2 and MVAPICH2-X (High Performance MPI and MPI+PGAS over InfiniBand, iWARP and RoCE) software packages , developed by his research group, are currently being used by more than 2,325 organizations worldwide (in 74 countries). The RDMA for Apache Hadoop Software package, designed and developed by his research group, provides native InfiniBand Verbs level support for multiple components (HDFS, MapReduce and RPC) of Apache Hadoop for Big Data processing.


The objectives of the research group are as follows:

  • Proposing new designs for high performance network-based computing systems by taking advantages of modern networking technologies and computing systems
  • Developing better middleware, API, and programming environments so that modern network-based computing applications can be developed and implemented in a scalable and high performance manner
  • Performing the above research in an integrated manner (by taking systems, networking, and applications into account)
  • Focusing on experimental computer science research

The projects in the Laboratory are funded by U.S. National Science Foundation, U.S. DOE Office of Science, Ohio Board of Regents, ODOD, Cisco Systems, Cray, Intel, Linux Networx, Mellanox, NVIDIA, QLogic, and Sun Microsystems; and equipment donations from Advanced Clustering, AMD, Appro, Chelsio, Dell, Fulcrum, Fujitsu, Intel, Mellanox, Microway, NetEffect, QLogic and Sun. Other technology partner includes: TotalView Technologies.

Announcements


(NEW) Three Presentations on MPI, PGAS and Multicasting with GPUDirect RDMA at the upcoming NVIDIA GTC 2015 conference.

NBCL will be Enabling a New Future for Cloud. More details are available here.

Tutorial on PGAS and Hybrid MPI+PGAS to be presented at PPoPP 2015 conference.

Tutorial on Big Data, RDMA for Apache Hadoop, Spark and Memcached to be presented at HPCA 2015, ASPLOS 2015, and ISCA 2015 conferences.