Nadathur Satish

Mahendra Institute of Management and Technical Studies — India

Computer Science · Physical Sciences

36h-index6.9kcitations70works0.02yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Parallel Computing and Optimization Techniques(28), Advanced Data Storage Technologies(20), Graph Theory and Algorithms(17), Interconnection Networks and Systems(13), Cloud Computing and Resource Management(12)

Publications70 total

AI-Powered Big Data Analytics for Personalized Learning in Education
2025
Effect of Brass Content and Speed of Cut on Machining Outcomes of Copper–2% Silver Alloy
Journal of The Institution of Engineers (India) Series D·2024
Effect Of Cutting Parameters On Tool Tip Temperature And Cutting Forces Of Copper Alloy
International Journal of Mechanical Engineering and Research·2023Open Access
Effect of Cryogenic Treatment on Mechanical Properties of Al–SiC Composites
Lecture notes in mechanical engineering·2021
Parallelizing Word2Vec in Shared and Distributed Memory
IEEE Transactions on Parallel and Distributed Systems·2019· 63 cited
Effect of Brass and Silver on Mechanical Properties of Copper
Materials Today Proceedings·2018· 8 cited
Banshee
2017· 52 cited
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for\n Scientific Data
arXiv (Cornell University)·2017· 9 citedOpen Access
Banshee: Bandwidth-Efficient DRAM Caching Via Software/Hardware Cooperation
arXiv (Cornell University)·2017· 8 citedOpen Access
Bridging the gap between HPC and big data frameworks
Proceedings of the VLDB Endowment·2017· 47 cited
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures
arXiv (Cornell University)·2016· 8 citedOpen Access
Designing Scalable b-MATCHING Algorithms on Distributed Memory Multiprocessors by Approximation
2016· 7 cited
Graphicionado: a high-performance and energy-efficient accelerator for graph analytics
International Symposium on Microarchitecture·2016· 172 cited
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics
2016· 267 cited
GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms
2016· 57 cited
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures
2016· 38 citedOpen Access
Parallelizing Word2Vec in Shared and Distributed Memory
arXiv (Cornell University)·2016· 21 citedOpen Access
Data tiering in heterogeneous memory systems
2016· 201 cited
Efficient Approximation Algorithms for Weighted $b$-Matching
SIAM Journal on Scientific Computing·2016· 36 citedOpen Access
IMP
2015· 152 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Pradeep Dubey(32), Narayanan Sundaram(19), Jatin Chhugani(18), Changkyu Kim(17), Md. Mostofa Ali Patwary(9), Anthony D. Nguyen(7), Victor W. Lee(6), Michael J. Anderson(6), Kurt Keutzer(6), Mikhail Smelyanskiy(5), Subramanya R. Dulloor(5), Kaushik Ravindran(5), Prabhat(4), Shihao Ji(4), Daehyun Kim(3), Mostofa Patwary(3), Eric Sedlar(3), Tim Kaldewey(3), Satya Gautam Vadlamudi(3), Dipankar Das(3)