Anant V. Nori

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

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Top Venues

Publications

Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution. CoRR (2024)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
Accelerating Graph Analytics Using Attention-Based Data Prefetcher. SN Comput. Sci. 5 (5) (2024)
Rahul Bera, Adithya Ranganathan, Joydeep Rakshit, Sujit Mahto, Anant V. Nori, Jayesh Gaur, Ataberk Olgun, Konstantinos Kanellopoulos, Mohammad Sadrosadati, Sreenivas Subramoney, Onur Mutlu
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution. ISCA (2024)
Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. HPEC (2022)
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
ReSemble: Reinforced Ensemble Framework for Data Prefetching. SC (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching. CoRR (2022)
Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna
A2P: Attention-based Memory Access Prediction for Graph Analytics. DATA (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
Fine-grained address segmentation for attention-based variable-degree prefetching. CF (2022)
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
TransforMAP: Transformer for Memory Access Prediction. CoRR (2022)
Anant V. Nori, Rahul Bera, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney
REDUCT: Keep it Close, Keep it Cool! : Efficient Scaling of DNN Inference on Multi-core CPUs with Near-Cache Compute. ISCA (2021)
Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. CoRR (2021)
Antara Ganguly, Shankar Balachandran, Anant V. Nori, Virendra Singh, Sreenivas Subramoney
Characterization of Data Generating Neural Network Applications on x86 CPU Architecture. ISPASS (2020)
Anant V. Nori, Rahul Bera, Shankar Balachandran, Joydeep Rakshit, Om Ji Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney
Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute. CoRR (2020)
Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney
DSPatch: Dual Spatial Pattern Prefetcher. CoRR (2019)
Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney
DSPatch: Dual Spatial Pattern Prefetcher. MICRO (2019)