עקוב אחר
Maria Malik
Maria Malik
Intel-CA, George Mason University-VA, George Washington University-DC
כתובת אימייל מאומתת בדומיין gmu.edu
כותרת
צוטט על ידי
צוטט על ידי
שנה
Energy-efficient acceleration of big data analytics applications using FPGAs
K Neshatpour, M Malik, MA Ghodrat, A Sasan, H Homayoun
2015 IEEE International Conference on Big Data (Big Data), 115-123, 2015
982015
System and Architecture Level Characterization of Big Data Applications on Big and Little Core Server Architectures
M Malik, S Rafatirah, A Sasan, H Homayoun
2015 IEEE International Conference on Big Data (Big Data), 2015
422015
Accelerating machine learning kernel in hadoop using fpgas
K Neshatpour, M Malik, H Homayoun
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015
372015
Big data on low power cores: Are low power embedded processors a good fit for the big data workloads?
M Malik, H Homayoun
2015 33rd IEEE international conference on computer design (ICCD), 379-382, 2015
342015
Accelerating big data analytics using fpgas
K Neshatpour, M Malik, MA Ghodrat, H Homayoun
2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015
312015
An energy-efficient programmable manycore accelerator for personalized biomedical applications
A Kulkarni, A Page, N Attaran, A Jafari, M Malik, H Homayoun, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (1), 96-109, 2017
302017
Productivity of GPUs under different programming paradigms
M Malik, T Li, U Sharif, R Shahid, T El‐Ghazawi, G Newby
Concurrency and computation: practice and experience 24 (2), 179-191, 2012
302012
Big vs little core for energy-efficient Hadoop computing - Journal Version
M Malik, K Neshatpour, S Rafatirad, RV Joshi, T Mohsenin, ...
Journal of Parallel and Distributed Computing, 2018
24*2018
Big vs Little Core for Energy-Efficient Hadoop Computing
M Malik, K Neshatpour, T Mohsenin, A Sasan, H Homayoun
Design, Automation & Test in Europe Conference & Exhibition, DATE 2017 …, 2017
242017
Architecture exploration for energy-efficient embedded vision applications: From general purpose processor to domain specific accelerator
M Malik, F Farahmand, P Otto, N Akhlaghi, T Mohsenin, S Sikdar, ...
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 559-564, 2016
192016
Energy-efficient acceleration of MapReduce applications using FPGAs
K Neshatpour, M Malik, A Sasan, S Rafatirad, T Mohsenin, ...
Journal of Parallel and Distributed Computing 119, 1-17, 2018
182018
Characterizing Hadoop applications on microservers for performance and energy efficiency optimizations
M Malik, A Sasan, R Joshi, S Rafatirah, H Homayoun
2016 IEEE International Symposium on Performance Analysis of Systems and …, 2016
182016
Co-Locating and Concurrent Fine-Tuning MapReduce Applications on Microservers for Energy Efficiency
M Malik, DM Tullsen, H Homayoun
In 2017 IEEE International Symposium on Workload Characterization (IISWC …, 2017
162017
Ecost: Energy-efficient co-locating and self-tuning mapreduce applications
M Malik, H Ghasemzadeh, T Mohsenin, R Cammarota, L Zhao, A Sasan, ...
Proceedings of the 48th International Conference on Parallel Processing, 1-11, 2019
142019
Task scheduling for GPU accelerated hybrid OLAP systems with multi-core support and text-to-integer translation
M Malik, L Riha, C Shea, T El-Ghazawi
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
142012
Hadoop workloads characterization for performance and energy efficiency optimizations on microservers
M Malik, K Neshatpour, S Rafatirad, H Homayoun
IEEE Transactions on Multi-Scale Computing Systems 4 (3), 355-368, 2017
122017
Realizing complexity-effective on-chip power delivery for many-core platforms by exploiting optimized mapping
MK Tavana, D Pathak, MH Hajkazemi, M Malik, I Savidis, H Homayoun
2015 33rd IEEE International Conference on Computer Design (ICCD), 581-588, 2015
112015
Task scheduling for GPU accelerated OLAP systems
L Riha, C Shea, M Malik, T El-Ghazawi
Proceedings of the 2011 Conference of the Center for Advanced Studies on …, 2011
92011
Sparse regression driven mixture importance sampling for memory design
M Malik, RV Joshi, R Kanj, S Sun, H Homayoun, T Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (1), 63-72, 2017
72017
Regularized logistic regression for fast importance sampling based SRAM yield analysis
L Shaer, R Kanj, R Joshi, M Malik, A Chehab
2017 18th International Symposium on Quality Electronic Design (ISQED), 119-124, 2017
62017
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20