Anant Nori

According to our database, Anant Nori authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating Graph Analytics Using Attention-Based Data Prefetcher.

Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna

SN Comput. Sci., June, 2024

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

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2022

pLUTo: Enabling Massively Parallel Computation In DRAM via Lookup Tables.

João Dinis Ferreira, Gabriel Falcão, Juan Gómez-Luna, Mohammed Alser, Lois Orosa, Mohammad Sadrosadati, Jeremie S. Kim, Geraldo F. Oliveira, Taha Shahroodi, Anant Nori, Onur Mutlu

Dataset, July, 2022

TransforMAP: Transformer for Memory Access Prediction.

Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2022

ReSemble: Reinforced Ensemble Framework for Data Prefetching.

Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna

Proceedings of the SC22: International Conference for High Performance Computing, 2022

pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables.

João Dinis Ferreira, Gabriel Falcão, Juan Gómez-Luna, Mohammed Alser, Lois Orosa, Mohammad Sadrosadati, Jeremie S. Kim, Geraldo F. Oliveira, Taha Shahroodi, Anant Nori, Onur Mutlu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics.

Pengmiao Zhang, Rajgopal Kannan, Xiangzhi Tong, Anant V. Nori, Viktor K. Prasanna

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

A2P: Attention-based Memory Access Prediction for Graph Analytics.

Pengmiao Zhang, Rajgopal Kannan, Anant V. Nori, Viktor K. Prasanna

Proceedings of the 11th International Conference on Data Science, 2022

Fine-grained address segmentation for attention-based variable-degree prefetching.

Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

pLUTo: In-DRAM Lookup Tables to Enable Massively Parallel General-Purpose Computation.

João Dinis Ferreira, Gabriel Falcão, Juan Gómez-Luna, Mohammed Alser, Lois Orosa, Mohammad Sadrosadati, Jeremie S. Kim, Geraldo F. Oliveira, Taha Shahroodi, Anant Nori, Onur Mutlu

CoRR, 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

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning.

Rahul Bera, Konstantinos Kanellopoulos, Anant Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

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

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

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

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, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Characterization of Data Generating Neural Network Applications on x86 CPU Architecture.

Antara Ganguly, Shankar Balachandran, Anant V. Nori, Virendra Singh, Sreenivas Subramoney

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

2019

DSPatch: Dual Spatial Pattern Prefetcher.

Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

Criticality Aware Tiered Cache Hierarchy: A Fundamental Relook at Multi-Level Cache Hierarchies.

Anant Nori, Jayesh Gaur, Siddharth Rai, Sreenivas Subramoney, Hong Wang

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

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

Proceedings of the 55th Annual Design Automation Conference, 2018