Interference-aware co-scheduling method based on classification of application characteristics from hardware performance counter using data mining
暂无分享,去创建一个
[1] Ralf Gruber,et al. One Joule per GFlop for BLAS2 Now , 2010 .
[2] Jacob Benesty,et al. Pearson Correlation Coefficient , 2009 .
[3] Chen Feng,et al. Performance Characterization of Hadoop and Data MPI Based on Amdahl's Second Law , 2014, 2014 9th IEEE International Conference on Networking, Architecture, and Storage.
[4] Jieun Choi,et al. Efficient Classification of Application Characteristics by Using Hardware Performance Counters with Data Mining , 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).
[5] Steven M. Gallo,et al. Workload Analysis of Blue Waters , 2017, ArXiv.
[6] Ariel Oleksiak,et al. Top-Down Characterization Approximation based on performance counters architecture for AMD processors , 2016, Simul. Model. Pract. Theory.
[7] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[8] Wolfgang E. Nagel,et al. Detecting Memory-Boundedness with Hardware Performance Counters , 2017, ICPE.
[9] Jik-Soo Kim,et al. Towards optimal scheduling policy for heterogeneous memory architecture in many-core system , 2018, Cluster Computing.
[10] Dong Li,et al. Application Characterization Using Oxbow Toolkit and PADS Infrastructure , 2014, 2014 Hardware-Software Co-Design for High Performance Computing.
[11] Renato J. O. Figueiredo,et al. Application classification through monitoring and learning of resource consumption patterns , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.
[12] Avinash Sodani,et al. Intel Xeon Phi Processor High Performance Programming: Knights Landing Edition 2nd Edition , 2016 .
[13] Hyun-Wook Jin,et al. Enhanced memory management for scalable MPI intra-node communication on many-core processor , 2017, EuroMPI/USA.
[14] Hui Wang,et al. A-DRM: Architecture-aware Distributed Resource Management of Virtualized Clusters , 2015, VEE 2015.
[15] Lieven Eeckhout,et al. Scheduling heterogeneous multi-cores through performance impact estimation (PIE) , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).
[16] Jeanine Cook,et al. Improved estimation for software multiplexing of performance counters , 2005, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.
[17] Josef Weidendorfer,et al. Case Study on Co-scheduling for HPC Applications , 2015, 2015 44th International Conference on Parallel Processing Workshops.
[18] Alexandra Fedorova,et al. Addressing shared resource contention in multicore processors via scheduling , 2010, ASPLOS XV.
[19] Robert Schöne,et al. On-line analysis of hardware performance events for workload characterization and processor frequency scaling decisions , 2011, ICPE '11.
[20] James E. Smith,et al. A performance counter architecture for computing accurate CPI components , 2006, ASPLOS XII.
[21] Jean-Marc Pierson,et al. Characterizing Applications from Power Consumption: A Case Study for HPC Benchmarks , 2011, ICT-GLOW.
[22] Rob VanderWijngaart,et al. NAS Parallel Benchmarks I/O Version 2.4. 2.4 , 2002 .
[23] Ananta Tiwari,et al. Compute bottlenecks on the new 64-bit ARM , 2015, E2SC '15.