NU-MineBench
Core Team:
- Jay Pisharath
- Ying Liu
- Berkin Ozisikyilmaz
- Ramanathan Narayanan
- Wei-keng Liao
- Alok Choudhary (PI)
- Gokhan Memik
Sponsors:
- National Science Foundation (grants CCF-0444405, CNS-0406341, CCR-0325207, CNS-0551639, CNS-0551551)
- Department of Energy (grant DE-FC02-01ER25485)
- Intel Corporation
NU-MineBench
Acknowledgements:
NU-MineBench benchmark is an effort to bring in a diverse mix of applications from multiple application domains. Researchers from academia and industry contributed to our efforts. We would like to sincerely thank the following groups and personnel for their valuable contributions (code, technology, algorithms, etc):
- Mohammed J. Zaki at Rensselaer Polytechnic Institute for the association rule based algorithms
- Vipin Kumar at University of Minnesota for the classification algorithms
- Intelligent Information Systems Research Group at IBM Almaden Research Center for the association rule algorithms and the dataset generators
- Daniel Eisenstein and Piet Hut at the Institute of Advanced Study for their astrophysics application
- Computation Astrophysics Laboratory at University of California, San Diego for the cosmological application and the dataset generators
- Christian Borgelt at Otto-von-Guericke-University of Magdeburg (Germany) for the classification and association rule applications
- Brendan McCane at University of Otago (New Zealand) for the fuzzy-based applications
- Intel Corporation for contributing the Parallel Linear Space Alignment (PLSA) application, high performance GeneNet application, OpenMP based RSearch application and also for their computer vision library
- Nir Friedman at Hebrew University, Jerusalem for the Semphy application
- Eddy lab at Washington University in St.Louis for the RSearch application
- Kernel Machines and Intel Microprocessor Research Labs (MRL) for the SVM-RFE package
- Intel Microprocessor Research Labs (MRL) and University of Wisconsin for the PCx package
- Intel Microprocessor Research Labs (MRL) for testing the benchmark suite
- Carole Dulong at Intel MRL for providing futuristic platform workloads and for feedback on characterization
- Pradeep Dubey at Intel MRL for providing feedback on characterization
- Sanjay Goil at Sun Microsystems for contributing the performance evaluation software for SPARC systems
- Intel Corporation for their compiler tools and performance evaluation software
- National Science Foundation (NSF grants CCF-0444405, CNS-0406341, CCR-0325207, CNS-0551639 to Northwestern University and grant CNS-0551551 to University of Minnesota), Department of Energy (DoE grant DE-FC02-01ER25485) and Intel Corporation for supporting our efforts
