Abdul Wasay
Abdul Wasay
Research Scientist at Intel Labs
Geverifieerd e-mailadres voor intel.com - Homepage
Geciteerd door
Geciteerd door
Data canopy: Accelerating exploratory statistical analysis
A Wasay, X Wei, N Dayan, S Idreos
Proceedings of the 2017 ACM International Conference on Management of Data…, 2017
Queriosity: Automated data exploration
A Wasay, M Athanassoulis, S Idreos
2015 IEEE International Congress on Big Data, 716-719, 2015
The periodic table of data structures
S Idreos, K Zoumpatianos, M Athanassoulis, N Dayan, B Hentschel, ...
IEEE Data Eng. Bull., 2018
Mothernets: Rapid deep ensemble learning
A Wasay, B Hentschel, Y Liao, S Chen, S Idreos
Proceedings of Machine Learning and Systems 2, 199-215, 2020
Learning data structure alchemy
S Idreos, K Zoumpatianos, S Chatterjee, W Qin, A Wasay, B Hentschel, ...
Bulletin of the IEEE Computer Society Technical Committee on Data…, 2019
More or less: When and how to build convolutional neural network ensembles
A Wasay, S Idreos
International conference on learning representations, 2020
Deep learning: Systems and responsibility
A Wasay, S Chatterjee, S Idreos
Proceedings of the 2021 International Conference on Management of Data, 2867…, 2021
The Periodic Table of Data Structures. IEEE Data Eng. Bull. 41, 3 (2018), 64–75
S Idreos, K Zoumpatianos, M Athanassoulis, N Dayan, B Hentschel, ...
Rethinking buffer management in data center networks
A Mushtaq, AK Ismail, A Wasay, B Mahmood, IA Qazi, ZA Uzmi
ACM SIGCOMM Computer Communication Review 44 (4), 575-576, 2014
Network Traffic Data Summarization
AS Martin Arlitt Abdul Wasay
US Patent 10,432,539, 2019
Rapid training of very large ensembles of diverse neural networks
A Wasay, Y Liao, S Idreos
CoRR, abs/1809.04270, 2018
Scope is all you need: Transforming LLMs for HPC Code
T Kadosh, N Hasabnis, VA Vo, N Schneider, N Krien, A Wasay, N Ahmed, ...
arXiv preprint arXiv:2308.09440, 2023
μ-TWO: 3 Faster Multi-Model Training with Orchestration and Memory Optimization
S Purandare, A Wasay, S Idreos, A Jain
Proceedings of Machine Learning and Systems 5, 2023
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings
TI Papon, A Wasay
arXiv preprint arXiv:2212.08046, 2022
Machine Programming: Turning Data into Programmer Productivity
A Wasay, N Tatbul, J Gottschlich
International Conference on Very Large Databases (VLDB), 2022
Computation-Cautious Machine Learning Systems
A Wasay
Harvard University, 2021
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Artikelen 1–16