IEEE Transactions on Parallel and Distributed Systems
Using moldability to improve the performance of supercomputer jobs
Journal of Parallel and Distributed Computing
When the Herd Is Smart: Aggregate Behavior in the Selection of Job Request
IEEE Transactions on Parallel and Distributed Systems
Simulation Based HPC Workload Analysis
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
A Model for Moldable Supercomputer Jobs
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Comparing Logs and Models of Parallel Workloads Using the Co-plot Method
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
Benchmarks and Standards for the Evaluation of Parallel Job Schedulers
IPPS/SPDP '99/JSSPP '99 Proceedings of the Job Scheduling Strategies for Parallel Processing
IPDPS '00/JSSPP '00 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Adaptive Selection of Partition Size for Supercomputer Requests
IPDPS '00/JSSPP '00 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Metrics for Parallel Job Scheduling and Their Convergence
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Characteristics of a Large Shared Memory Production Workload
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
The Forgotten Factor: Facts on Performance Evaluation and Its Dependence on Workloads
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Workload Modeling for Performance Evaluation
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
The workload on parallel supercomputers: modeling the characteristics of rigid jobs
Journal of Parallel and Distributed Computing
Improving and Stabilizing Parallel Computer Performance Using Adaptive Backfilling
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
On the Scalability of Centralized Control
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 18 - Volume 19
What is worth learning from parallel workloads?: a user and session based analysis
Proceedings of the 19th annual international conference on Supercomputing
A unified load generator based on formal load specification and load transformation
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Analysis and modeling of job arrivals in a production grid
ACM SIGMETRICS Performance Evaluation Review
A Co-Plot analysis of logs and models of parallel workloads
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A Pragmatic Analysis Of Scheduling Environments On New Computing Platforms
International Journal of High Performance Computing Applications
Detection workload in a dynamic grid-based intrusion detection environment
Journal of Parallel and Distributed Computing
CPU demand for web serving: Measurement analysis and dynamic estimation
Performance Evaluation
The performance of bags-of-tasks in large-scale distributed systems
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
Symbiotic space-sharing on SDSC's datastar system
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Modeling job arrivals in a data-intensive grid
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Towards characterizing cloud backend workloads: insights from Google compute clusters
ACM SIGMETRICS Performance Evaluation Review
Proceedings of the 13th International Workshop on Software & Compilers for Embedded Systems
An Analysis of Traces from a Production MapReduce Cluster
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
A hybrid Markov chain model for workload on parallel computers
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Users matter: a multi-agent systems model of high performance computing cluster users
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Optimizing the access to read-only data in grid computing
DAIS'05 Proceedings of the 5th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
Parallel computer workload modeling with markov chains
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Workload characteristics of a multi-cluster supercomputer
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
Workload analysis of a cluster in a grid environment
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
Pitfalls in parallel job scheduling evaluation
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
Analytical modeling of primary and secondary load as induced by video applications using UDP/IP
Computer Communications
Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Heterogeneity and dynamicity of clouds at scale: Google trace analysis
Proceedings of the Third ACM Symposium on Cloud Computing
Scheduling concurrent applications on a cluster of CPU-GPU nodes
Future Generation Computer Systems
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The study and design of computer systems requires good models of the workload to which these systems are subjected. Until recently, the data necessary to build these models---observations from production installations---were not available, especially for parallel computers. Instead, most models were based on assumptions and mathematical attributes that facilitate analysis. Recently a number of supercomputer sites have made accounting data available that make it possible to build realistic workload models. It is not clear, however, how to generalize from specific observations to an abstract model of the workload. This paper presents observations of workloads from several parallel supercomputers and discusses modeling issues that have caused problems for researchers in this area.