Author

Sheila De Pedro

Director of School of Computing and Professor, University of Georgia - Cited by 10,104 - High performance and data-intensive computing

Biography

Sheila De Pedro is a faculty of Department of Pediatrics, University Hospital of Salamanca, Spain. She is a recipient of many awards and grants for her valuable contributions and discoveries in major area of research. Her research interests come under pediatrics. Her area of expertise credits her with many publications in national and international journals. She is committed to highest standards of excellence and it proves through her authorship of many books.
Title
Cited by
Year
DNNFusion: accelerating deep neural networks execution with advanced operator fusion
W Niu, J Guan, Y Wang, G Agrawal, B RenProceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021202
57
2021
A novel data transformation and execution strategy for accelerating sparse matrix multiplication on GPUs
P Jiang, C Hong, G AgrawalProceedings of the 25th ACM SIGPLAN symposium on principles and practice of …, 2020202
40
2020
Tweets can tell: activity recognition using hybrid gated recurrent neural networks
R Cui, G Agrawal, R RamnathSocial Network Analysis and Mining 10, 1-15, 2020202
13
2020
Revealing parallel scans and reductions in recurrences through function reconstruction
P Jiang, L Chen, G AgrawalProceedings of the 27th International Conference on Parallel Architectures …, 2018201
11
2018
A performance prediction framework for irregular applications
G Zhu, G Agrawal2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018201
10
2018
COMPASS: compact array storage with value index
H Xing, G AgrawalProceedings of the 30th International Conference on Scientific and …, 2018201
9
2018
Accelerating array joining with integrated value-index
H Xing, G AgrawalProceedings of the 31st International Conference on Scientific and …, 20120
9
2019
Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms
R Jin, Z Peng, W Wu, F Dragan, G Agrawal, B RenProceedings of the 34th ACM International Conference on Supercomputing, 1-13, 2020202
9
2020
Accelerating distributed stochastic gradient descent with adaptive periodic parameter averaging: Poster
P Jiang, G AgrawalProceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019201
8
2019
Enabling prefix sum parallelism pattern for recurrences with principled function reconstruction
Y Xia, P Jiang, G AgrawalProceedings of the 28th International Conference on Compiler Construction, 17-28, 2019201
6
2019
Scaling out speculative execution of finite-state machines with parallel merge
Y Xia, P Jiang, G AgrawalProceedings of the 25th ACM SIGPLAN Symposium on principles and practice of …, 2020202
6
2020
A methodology for characterizing sparse datasets and its application to simd performance prediction
G Zhu, P Jiang, G Agrawal2019 28th International Conference on Parallel Architectures and Compilation …, 2019201
5
2019
Achieving performance and programmability for mapreduce (-like) frameworks
J Guo, G Agrawal2018 IEEE 25th International Conference on High Performance Computing (HiPC …, 2018201
4
2018
Pruned landmark labeling meets vertex centric computation: A surprisingly happy marriage!
R Jin, Z Peng, W Wu, F Dragan, G Agrawal, B RenarXiv preprint arXiv:1906.12018, 2019201
4
2019
Tweets can tell: Activity recognition using hybrid long short-term memory model
R Cui, G Agrawal, R RamnathProceedings of the 2019 IEEE/ACM international conference on advances in …, 2019201
4
2019
Adaptive periodic averaging: A practical approach to reducing communication in distributed learning
P Jiang, G AgrawalarXiv preprint arXiv:2007.0614, 2020202
3
2020
Smart streaming: a high-throughput fault-tolerant online processing system
J Guo, G Agrawal2020 IEEE International Parallel and Distributed Processing Symposium …, 2020202
3
2020
Scaling sparse matrix multiplication on cpu-gpu nodes
Y Xia, P Jiang, G Agrawal, R Ramnath01 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 010
2
2021
Combining simd and many/multi-core parallelism for finite-state machines with enumerative speculation
P Jiang, Y Xia, G AgrawalACM Transactions on Parallel Computing (TOPC) 7 (3), 1-6, 000
2
2020
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices
D Troyer, J Henry, H Maleki, G Dorai, B Sumner, G Agrawal, J Ingram01 IEEE International Conference on Big Data (Big Data), 583-59, 010
2
2021

Referred From: https://scholar.google.com/citations?user=kOUPR1sAAAAJ&hl=en

Cited by
Citations 10104
h-index 57
i10-index 165
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