An extended set of FORTRAN basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
Active messages: a mechanism for integrated communication and computation
ISCA '92 Proceedings of the 19th annual international symposium on Computer architecture
U-Net: a user-level network interface for parallel and distributed computing
SOSP '95 Proceedings of the fifteenth ACM symposium on Operating systems principles
Efficient parallel processing on low-cost clusters with GAMMA active ports
Parallel Computing - Parallel computing on clusters of workstations
An overview of the BlueGene/L Supercomputer
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
High Performance Messaging on Workstations: Illinois Fast Messages (FM) for Myrinet
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
A Performance and Scalability Analysis of the BlueGene/L Architecture
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
The BlueGene/L pseudo cycle-accurate simulator
ISPASS '04 Proceedings of the 2004 IEEE International Symposium on Performance Analysis of Systems and Software
Scalable load-balance measurement for SPMD codes
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Overview of the Blue Gene/L system architecture
IBM Journal of Research and Development
A PAPI implementation for BlueGene
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
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Good performance monitoring is the basis of modern performance analysis tools for application optimization. We are providing a variety of such performance analysis tools for the new Blue Gene®/L supercomputer. Those tools can be divided into two categories: single-node performance tools and multinode performance tools. From a single-node perspective, we provide standard interfaces and libraries, such as PAPI and libHPM, that provide access to the hardware performance counters for applications running on the Blue Gene/L compute nodes. From a multinode perspective, we focus on tools that analyze Message Passing Interface (MPI) behavior. Those tools work by first collecting message-passing trace data when a program runs. The trace data is then used by graphical interface tools that analyze the behavior of applications. Using the current prototype tools, we demonstrate their usefulness and applicability with case studies of application optimization.