A microbenchmark suite for OpenMP 2.0
ACM SIGARCH Computer Architecture News - Special Issue: PACT 2001 workshops
Parallel data intensive computing in scientific and commercial applications
Parallel Computing - Parallel data-intensive algorithms and applications
A survey of processors with explicit multithreading
ACM Computing Surveys (CSUR)
Early Experience with Scientific Programs on the Cray MTA-2
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Proceedings of the 2nd conference on Computing frontiers
On the Architectural Requirements for Efficient Execution of Graph Algorithms
ICPP '05 Proceedings of the 2005 International Conference on Parallel Processing
Initial Performance Evaluation of the Cray SeaStar Interconnect
HOTI '05 Proceedings of the 13th Symposium on High Performance Interconnects
Designing Multithreaded Algorithms for Breadth-First Search and st-connectivity on the Cray MTA-2
ICPP '06 Proceedings of the 2006 International Conference on Parallel Processing
Cached sufficient statistics for efficient machine learning with large datasets
Journal of Artificial Intelligence Research
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Thread tailor: dynamically weaving threads together for efficient, adaptive parallel applications
Proceedings of the 37th annual international symposium on Computer architecture
Adaptive multi-threading for dynamic workloads in embedded multiprocessors
SBCCI '10 Proceedings of the 23rd symposium on Integrated circuits and system design
A Bandwidth-Optimized Multi-core Architecture for Irregular Applications
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Approximate weighted matching on emerging manycore and multithreaded architectures
International Journal of High Performance Computing Applications
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The resurgence of current and upcoming multithreaded architectures and programming models led us to conduct a detailed study to understand the potential of these platforms to increase the performance of data-intensive, irregular scientific applications. Our study is based on a power system state estimation application and a novel anomaly detection application applied to network traffic data. We also conducted a detailed evaluation of the platforms using microbenchmarks in order to gain insight into their architectural capabilities and their interaction with programming models and application software. The evaluation was performed on the Cray MTA-2 and the Sun Niagar.