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Ali Raza Butt
- > Home > Persons > Ali Raza Butt
Publications
- 2017
- [c75]Luna Xu, Seung-Hwan Lim, Min Li, Ali Raza Butt, Ramakrishnan Kannan:
Scaling up data-parallel analytics platforms: Linear algebraic operation cases. IEEE BigData 2017: 273-282 - 2016
- [c71]Arnab Kumar Paul, Wenjie Zhuang, Luna Xu, Min Li, M. Mustafa Rafique, Ali Raza Butt:
CHOPPER: Optimizing Data Partitioning for In-memory Data Analytics Frameworks. CLUSTER 2016: 110-119 - [c68]Luna Xu, Min Li, Li Zhang, Ali Raza Butt, Yandong Wang, Zane Zhenhua Hu:
MEMTUNE: Dynamic Memory Management for In-Memory Data Analytic Platforms. IPDPS 2016: 383-392 - 2015
- [c63]Luna Xu, Min Li, Ali Raza Butt:
GERBIL: MPI+YARN. CCGRID 2015: 627-636 - [c51]Dakshi Agrawal, Ali Raza Butt, Kshitij A. Doshi, Josep Lluís Larriba-Pey, Min Li, Frederick R. Reiss, Francois Raab, Berni Schiefer, Toyotaro Suzumura, Yinglong Xia:
SparkBench - A Spark Performance Testing Suite. TPCTC 2015: 26-44 - 2014
- [c45]Min Li, Liangzhao Zeng, Shicong Meng, Jian Tan, Li Zhang, Ali Raza Butt, Nicholas C. Fuller:
MRONLINE: MapReduce online performance tuning. HPDC 2014: 165-176 - 2013
- [c36]Min Li, Sushil Mantri, Pin Zhou, Ali Raza Butt:
SMIO: I/O similarity aware virtual machine management invirtual desktop environments. ICS 2013: 481-482 - 2012
- [c34]Min Li, Dinesh Subhraveti, Ali Raza Butt, Aleksandr Khasymski, Prasenjit Sarkar:
CAM: a topology aware minimum cost flow based resource manager for MapReduce applications in the cloud. HPDC 2012: 211-222 - [c32]Min Li, Shravan Gaonkar, Ali Raza Butt, Deepak Kenchammana, Kaladhar Voruganti:
Cooperative Storage-Level De-duplication for I/O Reduction in Virtualized Data Centers. MASCOTS 2012: 209-218 - 2011
- [c28]Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae Kim, Ali Raza Butt, Min Li, Mahmut T. Kandemir:
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines. ICDCS 2011: 1-12 - 2010
- [c22]Min Li, Sudharshan S. Vazhkudai, Ali Raza Butt, Fei Meng, Xiaosong Ma, Youngjae Kim, Christian Engelmann, Galen M. Shipman:
Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures. SC 2010: 1-12
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