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Mohammad Hammoud
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- affiliation: Carnegie Mellon University Qatar
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2020 – today
- 2021
- [j9]Kijung Shin
, Euiwoong Lee
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. ACM Trans. Knowl. Discov. Data 15(3): 38:1-38:30 (2021) - 2020
- [j8]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Graphite: A NUMA-aware HPC System for Graph Analytics Based on a new MPI * X Parallelism Model. Proc. VLDB Endow. 13(6): 783-797 (2020) - [c20]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Studying the Effects of Hashing of Sparse Deep Neural Networks on Data and Model Parallelisms. HPEC 2020: 1-7 - [c19]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Accelerating Distributed Inference of Sparse Deep Neural Networks via Mitigating the Straggler Effect. HPEC 2020: 1-7 - [c18]Omar Khattab, Mohammad Hammoud, Tamer Elsayed:
Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval. SIGIR 2020: 1031-1040
2010 – 2019
- 2019
- [c17]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Efficient Distributed Graph Analytics using Triply Compressed Sparse Format. CLUSTER 2019: 1-11 - [c16]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Muhammad Yousuf Ahmad, Mohammad Hammoud:
Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse Column. HPEC 2019: 1-6 - [i2]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Mohammad Hammoud:
Partitioning Graphs for the Cloud using Reinforcement Learning. CoRR abs/1907.06768 (2019) - 2018
- [j7]Ahmad Al Takash, Marianne Beringhier, Mohammad Hammoud
Numerical approach based on the collection of the most significant modes to solve cyclic transient thermal problems involving different time scales. J. Comput. Phys. 375: 950-959 (2018) - [j6]Muhammad Yousuf Ahmad, Omar Khattab, Arsal Malik, Ahmad Musleh, Mohammad Hammoud, Mücahid Kutlu
LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System. Proc. VLDB Endow. 11(8): 920-933 (2018) - [c15]Mohammad Hasanzadeh-Mofrad, Rami G. Melhem, Mohammad Hammoud:
Revolver: Vertex-Centric Graph Partitioning Using Reinforcement Learning. IEEE CLOUD 2018: 818-821 - [c14]Omar Khattab, Mohammad Hammoud, Omar Shekfeh:
PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines. CIKM 2018: 1323-1332 - [c13]Kijung Shin, Mohammad Hammoud, Euiwoong Lee
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. PAKDD (3) 2018: 651-663 - [i1]Kijung Shin, Euiwoong Lee, Jinoh Oh, Mohammad Hammoud, Christos Faloutsos:
DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams. CoRR abs/1802.04249 (2018) - 2017
- [j5]Reem A. Yassine, Faten Salman, Ali Al Shaer, Mohammad Hammoud
Application of the Recursive Finite Element Approach on 2D Periodic Structures under Harmonic Vibrations. Comput. 5(1): 1 (2017) - [c12]Hussein Farhat, Ibrahim Mjallal, Mohammad Hammoud
Investigating the effect of the density of phase change materials on cooling electronic packages. ICM 2017: 1-5 - [c11]Fadel Kawtharani, Ali Kawtharani, Mohammad Hammoud
Cooling PV modules using phase change material. ICM 2017: 1-5 - 2016
- [c10]Aisha Hasan, Mohammad Hammoud, Reza Nouri, Sherif Sakr:
DREAM in Action: A Distributed and Adaptive RDF System on the Cloud. WWW (Companion Volume) 2016: 191-194 - 2015
- [j4]Mohammad Hammoud, Dania Abed Rabbou, Reza Nouri, Amin Beheshti
DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. Proc. VLDB Endow. 8(6): 654-665 (2015) - [j3]Khaled Salah
Teaching Cybersecurity Using the Cloud. IEEE Trans. Learn. Technol. 8(4): 383-392 (2015) - [c9]M. Suhail Rehman, Jason Boles, Mohammad Hammoud, Majd F. Sakr:
A Cloud Computing Course: From Systems to Services. SIGCSE 2015: 338-343 - 2014
- [p2]Mohammad Hammoud, Majd F. Sakr:
Distributed Programming for the Cloud: Models, Challenges, and Analytics Engines. Large Scale and Big Data 2014: 1-38 - [p1]Mohammad Hammoud, Majd F. Sakr:
Virtualizing Resources for the Cloud. Large Scale and Big Data 2014: 495-534 - 2013
- [c8]Mohammad Hammoud, Majd F. Sakr:
MC2: Map Concurrency Characterization for MapReduce on the Cloud. IEEE CLOUD 2013: 17-26 - 2012
- [c7]Mohammad Hammoud, M. Suhail Rehman, Majd F. Sakr:
Center-of-Gravity Reduce Task Scheduling to Lower MapReduce Network Traffic. IEEE CLOUD 2012: 49-58 - 2011
- [j2]Mohammad Hammoud, Sangyeun Cho, Rami G. Melhem:
C-AMTE: A location mechanism for flexible cache management in chip multiprocessors. J. Parallel Distributed Comput. 71(6): 889-896 (2011) - [c6]Mohammad Hammoud, Majd F. Sakr:
Locality-Aware Reduce Task Scheduling for MapReduce. CloudCom 2011: 570-576 - [c5]Mohammad Hammoud, Sangyeun Cho, Rami G. Melhem:
Cache equalizer: a placement mechanism for chip multiprocessor distributed shared caches. HiPEAC 2011: 177-186 - 2010
- [j1]Mohammad Hammoud, Sangyeun Cho, Rami G. Melhem:
A Dynamic Pressure-Aware Associative Placement Strategy for Large Scale Chip Multiprocessors. IEEE Comput. Archit. Lett. 9(1): 29-32 (2010) - [c4]Mohammad Hammoud, Sangyeun Cho, Rami G. Melhem:
An intra-tile cache set balancing scheme. PACT 2010: 549-550
2000 – 2009
- 2009
- [c3]Mohammad Hammoud, Sangyeun Cho, Rami G. Melhem:
ACM: An Efficient Approach for Managing Shared Caches in Chip Multiprocessors. HiPEAC 2009: 355-372 - [c2]Mohammad Hammoud, Sangyeun Cho, Rami G. Melhem:
Dynamic cache clustering for chip multiprocessors. ICS 2009: 56-67 - 2007
- [c1]Sangyeun Cho, Joel R. Martin, Ruibin Xu, Mohammad H. Hammoud, Rami G. Melhem:
CA-RAM: A High-Performance Memory Substrate for Search-Intensive Applications. ISPASS 2007: 230-241
Coauthor Index
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