Home
Publications
Awards
Research
NB Collectives
LibNBC
NBCBench
Performance
Open MPI/MVAPI
MVAPICH
CG Solver
Kernels
HPL
MPI Topologies
MPI Datatypes
Netgauge
Network Topologies
Ethernet BTL eth
ORCS
DFSSSP
Older Projects
cDAG
LogGOPSim
CoMPIler
Teaching
Miscellaneous
Full CV [pdf]
BLOG
Events
Past Events
|
NBCBench - benchmarking Nonblocking MPI Collective Operations Performance
Description
NBCBench is a benchmark that measures overlap and asynchronous
progression of nonblocking collective operations implemented in
LibNBC. NBCBench is distributed under the BSD license.
Download NBCBench
Performance Results for different MPI Implementations
We present performance results of LibNBC for different MPI
implementations. LibNBC issues MPI_Isend() and MPI_Irecv() calls, and
the performance and possible overlap depends on the implementation in
MPI. We do also compare the collective operations implemented in LibNBC
to the MPI operations.
Results are available for the following MPI Implementations:
Please keep in mind that not all collective algorithms in LibNBC are
optimized!
Benchmark Methodology
We used the overlap-benchmark which has been designed to assess the
maximal possible overlap and the minimal latencies. The benchmark will
be described later. Details can be found in "Accurately Measuring Collective
Operations at Massive Scale" [1] and "Implementation and Performance
Analysis of Non-Blocking Collective Operations for MPI" [2].
References
| PMEO'08 | [1] Torsten Hoefler, Timo Schneider and Andrew Lumsdaine: | | | Accurately Measuring Collective Operations at Massive Scale In Proceedings of the 22nd IEEE International Parallel & Distributed Processing Symposium, PMEO'08 Workshop, presented in Miami, FL, ISSN: 1530-2075, ISBN: 978-1-4244-1694-3, Apr. 2008, Invited to a journal special issue on top picks from PMEO'08.   |
| SC07 | [2] Torsten Hoefler, Andrew Lumsdaine and Wolfgang Rehm: | | | Implementation and Performance Analysis of Non-Blocking Collective Operations for MPI In Proceedings of the 2007 International Conference on High Performance Computing, Networking, Storage and Analysis, SC07, presented in Reno, USA, IEEE Computer Society/ACM, Nov. 2007, (acceptance rate 20%, 54/268) |
|
