Closed yet open DRAM: achieving low latency and high performance in DRAM memory systems. - Lavanya Subramanian; Kaushik Vaidyanathan; Anant Nori; Sreenivas Subramoney; Tanay Karnik; Hong Wang 003 (DAC, 2018)

Criticality Aware Tiered Cache Hierarchy: A Fundamental Relook at Multi-Level Cache Hierarchies. - Anant Nori; Jayesh Gaur; Siddharth Rai; Sreenivas Subramoney; Hong Wang 003 (ISCA, 2018)

DSPatch: Dual Spatial Pattern Prefetcher. - Rahul Bera; Anant V. Nori; Onur Mutlu; Sreenivas Subramoney (MICRO, 2019)

Characterization of Data Generating Neural Network Applications on x86 CPU Architecture. - Antara Ganguly; Shankar Balachandran; Anant V. Nori; Virendra Singh; Sreenivas Subramoney (ISPASS, 2020)

GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. - Damla Senol Cali; Gurpreet S. Kalsi; Zülal Bingöl; Can Firtina; Lavanya Subramanian; Jeremie S. Kim; Rachata Ausavarungnirun; Mohammed Alser; Juan Gómez-Luna; Amirali Boroumand; Anant Nori; Allison Scibisz; et al. (MICRO, 2020)

Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute. - Anant V. Nori; Rahul Bera; Shankar Balachandran; Joydeep Rakshit; Om Ji Omer; Avishaii Abuhatzera; Belliappa Kuttanna; Sreenivas Subramoney (CoRR, 2020)

REDUCT: Keep it Close, Keep it Cool! : Efficient Scaling of DNN Inference on Multi-core CPUs with Near-Cache Compute. - Anant V. Nori; Rahul Bera; Shankar Balachandran; Joydeep Rakshit; Om Ji Omer; Avishaii Abuhatzera; Belliappa Kuttanna; Sreenivas Subramoney (ISCA, 2021)

Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. - Rahul Bera; Konstantinos Kanellopoulos; Anant Nori; Taha Shahroodi; Sreenivas Subramoney; Onur Mutlu (MICRO, 2021)

Cryptographic Capability Computing. - Michael LeMay; Joydeep Rakshit; Sergej Deutsch; David M. Durham; Santosh Ghosh; Anant Nori; Jayesh Gaur; Andrew Weiler; Salmin Sultana; Karanvir Grewal; Sreenivas Subramoney (MICRO, 2021)

pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation. - João Dinis Ferreira; Gabriel Falcão 001; Juan Gómez-Luna; Mohammed Alser; Lois Orosa 001; Mohammad Sadrosadati; Jeremie S. Kim; Geraldo F. Oliveira; Taha Shahroodi; Anant Nori; Onur Mutlu (CoRR, 2021)

Fine-grained address segmentation for attention-based variable-degree prefetching. - Pengmiao Zhang; Ajitesh Srivastava; Anant V. Nori; Rajgopal Kannan; Viktor K. Prasanna (CF, 2022)

A2P: Attention-based Memory Access Prediction for Graph Analytics. - Pengmiao Zhang; Rajgopal Kannan; Anant V. Nori; Viktor K. Prasanna (DATA, 2022)

SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics. - Pengmiao Zhang; Rajgopal Kannan; Xiangzhi Tong; Anant V. Nori; Viktor K. Prasanna (HPEC, 2022)

pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables. - João Dinis Ferreira; Gabriel Falcão 001; Juan Gómez-Luna; Mohammed Alser; Lois Orosa 001; Mohammad Sadrosadati; Jeremie S. Kim; Geraldo F. Oliveira; Taha Shahroodi; Anant Nori; Onur Mutlu (MICRO, 2022)

ReSemble: Reinforced Ensemble Framework for Data Prefetching. - Pengmiao Zhang; Rajgopal Kannan; Ajitesh Srivastava; Anant V. Nori; Viktor K. Prasanna (SC, 2022)

TransforMAP: Transformer for Memory Access Prediction. - Pengmiao Zhang; Ajitesh Srivastava; Anant V. Nori; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2022)

pLUTo: Enabling Massively Parallel Computation In DRAM via Lookup Tables. - João Dinis Ferreira; Gabriel Falcão 001; Juan Gómez-Luna; Mohammed Alser; Lois Orosa 001; Mohammad Sadrosadati; Jeremie S. Kim; Geraldo F. Oliveira; Taha Shahroodi; Anant Nori; Onur Mutlu (Zenodo, 2022)

Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution. - Rahul Bera; Adithya Ranganathan; Joydeep Rakshit; Sujit Mahto; Anant V. Nori; Jayesh Gaur; Ataberk Olgun; Konstantinos Kanellopoulos; Mohammad Sadrosadati; Sreenivas Subramoney; Onur Mutlu (ISCA, 2024)

Accelerating Graph Analytics Using Attention-Based Data Prefetcher. - Pengmiao Zhang; Rajgopal Kannan; Anant V. Nori; Viktor K. Prasanna (SN Comput. Sci., 2024)