| 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 | 89 | 2015 |
| 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 | 42 | 2015 |
| 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 | 36 | 2015 |
| 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 | 33 | 2015 |
| 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 | 32 | 2015 |
| 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 | 29 | 2017 |
| 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 | 29 | 2012 |
| 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 | 22* | 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 | 22 | 2017 |
| 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 | 18 | 2018 |
| 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 | 18 | 2016 |
| 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 | 18 | 2016 |
| 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 | 15 | 2012 |
| 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 | 13 | 2019 |
| 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 | 12 | 2017 |
| 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 | 11 | 2017 |
| 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 | 11 | 2015 |
| 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 | 9 | 2011 |
| An Adaptive Hybrid OLAP Architecture with optimized memory access patterns L Riha, M Malik, T El-Ghazawi Cluster computing 16, 663-677, 2013 | 6 | 2013 |
| Hardware accelerated mappers for Hadoop MapReduce streaming K Neshatpour, M Malik, A Sasan, S Rafatirad, H Homayoun IEEE Transactions on Multi-Scale Computing Systems 4 (4), 734-748, 2018 | 5 | 2018 |
Houman HomayounUniversity of California DavisVerified email at ucdavis.edu
