Animesh Jain
Animesh Jain
Verifierad e-postadress på - Startsida
Citeras av
Citeras av
Gist: Efficient data encoding for deep neural network training
A Jain, A Phanishayee, J Mars, L Tang, G Pekhimenko
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018
Deftnn: Addressing bottlenecks for dnn execution on gpus via synapse vector elimination and near-compute data fission
P Hill, A Jain, M Hill, B Zamirai, CH Hsu, MA Laurenzano, S Mahlke, ...
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
Concise loads and stores: The case for an asymmetric compute-memory architecture for approximation
A Jain, P Hill, SC Lin, M Khan, ME Haque, MA Laurenzano, S Mahlke, ...
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016
Proctor: Detecting and investigating interference in shared datacenters
RS Kannan, A Jain, MA Laurenzano, L Tang, J Mars
2018 IEEE International Symposium on Performance Analysis of Systems and …, 2018
High-radix on-chip networks with low-radix routers
A Jain, R Parikh, V Bertacco
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 289-294, 2014
Continuous shape shifting: Enabling loop co-optimization via near-free dynamic code rewriting
A Jain, MA Laurenzano, L Tang, J Mars
2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016
Efficient execution of quantized deep learning models: A compiler approach
A Jain, S Bhattacharya, M Masuda, V Sharma, Y Wang
arXiv preprint arXiv:2006.10226, 2020
High Radix On-Chip Networks at Incremental Reconfiguration Costs
A Jain, R Parikh, V Bertacco
23rd International Workshop on Logic and Synthesis, 2014
Cpsa: Compute precisely store approximately
A Jain, P Hill, MA Laurenzano, ME Haque, M Khan, S Mahlke, L Tang, ...
Workshop on Approximate Computing Across the Stack, 2016
Optimizing Memory-Access Patterns for Deep Learning Accelerators
H Zheng, S Oh, H Wang, P Briggs, J Gai, A Jain, Y Liu, R Heaton, ...
arXiv preprint arXiv:2002.12798, 2020
Efficient data encoding for deep neural network training
A Phanishayee, G Pekhimenko, A Jain
US Patent App. 16/024,311, 2019
Architectural support for convolutional neural networks on modern cpus
A Jain, MA Laurenzano, GA Pokam, J Mars, L Tang
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
Hierarchical partitioning of operators
A Jain, Y Liu, H Zheng, JT Huynh, H Li, D Borkovic, J Zejda, RJ Heaton, ...
US Patent App. 16/698,236, 2021
Efficient utilization of processing element array
JT Huynh, R Diamant, H Zheng, Y Liu, A Jain, Y Wang, V Sharma, ...
US Patent App. 16/698,461, 2021
Automated Backend-Aware Post-Training Quantization
Z Jiang, A Jain, A Liu, J Fromm, C Ma, T Chen, L Ceze
arXiv preprint arXiv:2103.14949, 2021
UNIT: Unifying Tensorized Instruction Compilation
J Weng, A Jain, J Wang, L Wang, Y Wang, T Nowatzki
2021 IEEE/ACM International Symposium on Code Generation and Optimization …, 2021
Addressing Memory Bottlenecks for Emerging Applications
A Jain
Journal publications
L Magri, PJ Schmid, JP Moeck, F Huhn, A Jain, A Nóvoa, NAK Doan, ...
Neural networks 142, 252-268, 2009
OverSeer: Efficient DNN Execution on Heterogeneous Devices
R Mukherjee, Z Chen, V Sharma, A Jain
Proctor–Detecting and Investigating Performance Interference in Shared Datacenters
RS Kannan, A Jain, MA Laurenzano, L Tang, J Mars
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20