Anant V. Nori

15 papers A* 3A 1B 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Accelerating Graph Analytics Using Attention-Based Data Prefetcher.
SN Comput. Sci.
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
2024 A* conf
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution.
ISCA
Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu
2024 J jnl
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution.
CoRR
Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu
2022 C conf
A2P: Attention-based Memory Access Prediction for Graph Analytics.
DATA
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
2022 J jnl
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching.
CoRR
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 — conf
Fine-grained address segmentation for attention-based variable-degree prefetching.
CF
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 A conf
ReSemble: Reinforced Ensemble Framework for Data Prefetching.
SC
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
2022 — conf
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics.
HPEC
Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
2022 J jnl
TransforMAP: Transformer for Memory Access Prediction.
CoRR
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2021 J jnl
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning.
CoRR
Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu
2021 A* conf
REDUCT: Keep it Close, Keep it Cool! : Efficient Scaling of DNN Inference on Multi-core CPUs with Near-Cache Compute.
ISCA
Anant V. Nori, Rahul Bera, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney
2020 B conf
Characterization of Data Generating Neural Network Applications on x86 CPU Architecture.
ISPASS
Antara Ganguly, Shankar Balachandran, Anant V. Nori, Virendra Singh, Sreenivas Subramoney
2020 J jnl
Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute.
CoRR
Anant V. Nori, Rahul Bera, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney
2019 A* conf
DSPatch: Dual Spatial Pattern Prefetcher.
MICRO
Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney
2019 J jnl
DSPatch: Dual Spatial Pattern Prefetcher.
CoRR
Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney