Author

Yardeni Dan

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

Biography

Dr. Yardeni Dan is currently affiliated to Safra Children’s Hospital, Israel, continuing research in the specialized scientific area of Pediatrics . Dr. Yardeni Dan has authored several articles along with chapters in different books related to Pediatric Surgery.
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
Recommended Journals
Open Access Journals