PRESTO: a system for object-oriented parallel programming
Software—Practice & Experience
Storage management for objects in EXODUS
Object-oriented concepts, databases, and applications
Persistence in the E Language: Issues and implementation
Software—Practice & Experience
Quartz: a tool for tuning parallel program performance
SIGMETRICS '90 Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems
The performance of multiprogrammed multiprocessor scheduling algorithms
SIGMETRICS '90 Proceedings of the 1990 ACM SIGMETRICS conference on Measurement and modeling of computer systems
Performance of parallel applications on a shared-memory multiprocessor system
Parallel computer systems
The integration of application and system based metrics in a parallel program performance tool
PPOPP '91 Proceedings of the third ACM SIGPLAN symposium on Principles and practice of parallel programming
Parallel program performance metrics: a comprison and validation
Proceedings of the 1992 ACM/IEEE conference on Supercomputing
IPS-2: The Second Generation of a Parallel Program Measurement System
IEEE Transactions on Parallel and Distributed Systems
Object and File Management in the EXODUS Extensible Database System
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Gprof: A call graph execution profiler
SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
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We added new features for analyzing multiple programs to the IPS-2 parallel-program performance tools and were surprised at the wide range of performance problems for which this modified IPS-2 can be used. With multiapplication IPS-2, programmers can simultaneously run and analyze cooperating or contending applications; combine performance displays and metrics of multiple applications or multiple versions of the same application to directly compare performance; analyze critical paths of execution for individual applications, for a single application and the applications with which it interacts, or for entire workloads; study how the application workload performance affects the hardware, operating system, and network performance; study an application's evolution through multiple versions, hardware platforms, or input sets; study a workload's aggregate behavior, how applications interact, or how individual applications perform in the presence of other applications; and compare the measured performance of a program with predictions made by simulations or analytical models. This modified parallel-program performance tool analyzes multiple applications in a single session, allowing better performance tuning than is possible when programs are run in isolation.