Sreenivas Subramoney

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 67

Top Topics

Top Venues

Publications

Can Firtina, Kamlesh R. Pillai, Gurpreet S. Kalsi, Bharathwaj Suresh, Damla Senol Cali, Jeremie S. Kim, Taha Shahroodi, Meryem Banu Cavlak, Joël Lindegger, Mohammed Alser, Juan Gómez-Luna, Sreenivas Subramoney, Onur Mutlu
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis. ACM Trans. Archit. Code Optim. 21 (1) (2024)
Sandeep Kumar, Aravinda Prasad, Sreenivas Subramoney
Taming Server Memory TCO with Multiple Software-Defined Compressed Tiers. CoRR (2024)
Alan Nair, Sandeep Kumar, Aravinda Prasad, Ying Huang, Andy Rudoff, Sreenivas Subramoney
Telescope: Telemetry for Gargantuan Memory Footprint Applications. USENIX ATC (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. CoRR (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)
Vinay Joshi, Prashant Laddha, Shambhavi Sinha, Om Ji Omer, Sreenivas Subramoney
QCQA: Quality and Capacity-aware grouped Query Attention. CoRR (2024)
Rajat Jain, Aravinda Prasad, Sreenivas Subramoney, Arkaprava Basu
iMIV: in-Memory Integrity Verification for NVM. CoRR (2024)
Souvik Kundu, Anthony Sarah, Vinay Joshi, Om Ji Omer, Sreenivas Subramoney
Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware. CoRR (2024)
Shivank Garg, Aravinda Prasad, Debadatta Mishra, Sreenivas Subramoney
Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs. CoRR (2023)
Alan Nair, Sandeep Kumar, Aravinda Prasad, Andy Rudoff, Sreenivas Subramoney
Telescope: Telemetry at Terabyte Scale. CoRR (2023)
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA (2023)
Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR (2023)
Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
Enhanced regularization for on-chip training using analog and temporary memory weights. Neural Networks 165 (2023)
Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR (2023)
Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. CVPR (2022)
Dipan Mandal, Abhilash Jain, Sreenivas Subramoney
Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video. CoRR (2022)
Ashwin Sanjay Lele, Srivatsava Jandhyala, Saurabh Gangurde, Virendra Singh, Sreenivas Subramoney, Udayan Ganguly
Disrupting Low-Write-Energy vs. Fast-Read Dilemma in RRAM to Enable L1 Instruction Cache. VDAT (2022)
Shixin Song, Tanvir Ahmed Khan, Sara Mahdizadeh-Shahri, Akshitha Sriraman, Niranjan K. Soundararajan, Sreenivas Subramoney, Daniel A. Jiménez, Heiner Litz, Baris Kasikci
Thermometer: profile-guided btb replacement for data center applications. ISCA (2022)
Pramod Kumar Bharti, Saurabh Jain, Kamlesh R. Pillai, Sagar Varma Sayyaparaju, Gurpreet S. Kalsi, Joycee Mekie, Sreenivas Subramoney
Compute-In-Memory Using 6T SRAM for a Wide Variety of Workloads. ISCAS (2022)
Logan Moody, Wei Qi, Abdolrasoul Sharifi, Layne Berry, Joey Rudek, Jayesh Gaur, Jeff Parkhurst, Sreenivas Subramoney, Kevin Skadron, Ashish Venkat
Speculative Code Compaction: Eliminating Dead Code via Speculative Microcode Transformations. MICRO (2022)
Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping. CoRR (2022)
Biji George, Om Ji Omer, Ziaul Choudhury, Anoop V, Sreenivas Subramoney
A Unified Programmable Edge Matrix Processor for Deep Neural Networks and Matrix Algebra. ACM Trans. Embed. Comput. Syst. 21 (5) (2022)
Can Firtina, Kamlesh R. Pillai, Gurpreet S. Kalsi, Bharathwaj Suresh, Damla Senol Cali, Jeremie S. Kim, Taha Shahroodi, Meryem Banu Cavlak, Joël Lindegger, Mohammed Alser, Juan Gómez-Luna, Sreenivas Subramoney, Onur Mutlu
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis. CoRR (2022)
Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. ISCA (2022)
Sparsh Mittal, Poonam Rajput, Sreenivas Subramoney
A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Sudhanshu Shukla, Sumeet Bandishte, Jayesh Gaur, Sreenivas Subramoney
Register file prefetching. ISCA (2022)
Sandeep Kumar, Aravinda Prasad, Smruti R. Sarangi, Sreenivas Subramoney
Radiant: efficient page table management for tiered memory systems. ISMM (2021)
Rahul Bera, Konstantinos Kanellopoulos, Anant Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. MICRO (2021)
C. N. Ramachandra, Anirban Nag, Rajeev Balasubramonion, Gurpreet S. Kalsi, Kamlesh R. Pillai, Sreenivas Subramoney
ONT-X: An FPGA Approach to Real-time Portable Genomic Analysis. FCCM (2021)
Sandeep Kumar, Aravinda Prasad, Smruti R. Sarangi, Sreenivas Subramoney
Page Table Management for Heterogeneous Memory Systems. CoRR (2021)
Michael LeMay, Joydeep Rakshit, Sergej Deutsch, David M. Durham, Santosh Ghosh, Anant Nori, Jayesh Gaur, Andrew Weiler, Salmin Sultana, Karanvir Grewal, Sreenivas Subramoney
Cryptographic Capability Computing. MICRO (2021)
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC (2021)
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)
Niranjan K. Soundararajan, Peter Braun, Tanvir Ahmed Khan, Baris Kasikci, Heiner Litz, Sreenivas Subramoney
PDede: Partitioned, Deduplicated, Delta Branch Target Buffer. MICRO (2021)
Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion. CoRR (2021)
Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR (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)
Tanvir Ahmed Khan, Nathan Brown, Akshitha Sriraman, Niranjan K. Soundararajan, Rakesh Kumar, Joseph Devietti, Sreenivas Subramoney, Gilles A. Pokam, Heiner Litz, Baris Kasikci
Twig: Profile-Guided BTB Prefetching for Data Center Applications. MICRO (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)
Sumeet Bandishte, Jayesh Gaur, Zeev Sperber, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
: Concepts, techniques and implementations presented in this paper are subject matter of pending patent applications, which have been filed by Intel Corporation. ISCA (2020)
Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney
Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. MICRO (2020)
Om Ji Omer, Prashant Laddha, Gurpreet S. Kalsi, Anirud Thyagharajan, Kamlesh R. Pillai, Abhimanyu Kulkarni, Anbang Yao, Yurong Chen, Sreenivas Subramoney
AccSS3D: Accelerator for Spatially Sparse 3D DNNs. CoRR (2020)
Anirud Thyagharajan, Om Ji Omer, Dipan Mandal, Sreenivas Subramoney
Towards Noise Resilient SLAM. ICRA (2020)
Saurabh Gupta, Niranjan Soundararajan, Ragavendra Natarajan, Sreenivas Subramoney
Opportunistic Early Pipeline Re-steering for Data-dependent Branches. PACT (2020)
Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney, John Sampson, Vijaykrishnan Narayanan
PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. DATE (2020)
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
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. CoRR (2020)
Adarsh Chauhan, Jayesh Gaur, Zeev Sperber, Franck Sala, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
Auto-Predication of Critical Branches. ISCA (2020)
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
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. MICRO (2020)
Prashant Laddha, Om Ji Omer, Gurpreet Singh Kalsi, Dipan Kumar Mandal, Sreenivas Subramoney
Descriptor Scoring for Feature Selection in Real-Time Visual Slam. ICIP (2020)
Sakshi Tiwari, Shreshth Tuli, Isaar Ahmad, Ayushi Agarwal, Preeti Ranjan Panda, Sreenivas Subramoney
REAL: REquest Arbitration in Last Level Caches. ACM Trans. Embed. Comput. Syst. 18 (6) (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)
Mainak Chaudhuri, Jayesh Gaur, Sreenivas Subramoney
Bandwidth-Aware Last-Level Caching: Efficiently Coordinating Off-Chip Read and Write Bandwidth. ICCD (2019)
Niranjan Soundararajan, Saurabh Gupta, Ragavendra Natarajan, Jared Stark, Rahul Pal, Franck Sala, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
Towards the adoption of Local Branch Predictors in Modern Out-of-Order Superscalar Processors. MICRO (2019)
Dipan Kumar Mandal, Srivatsava Jandhyala, Om Ji Omer, Gurpreet S. Kalsi, Biji George, Gopi Neela, Santhosh Kumar Rethinagiri, Sreenivas Subramoney, Lance Hacking, Jim Radford, Eagle Jones, Belliappa Kuttanna, Hong Wang
Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power. DATE (2019)
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)
Kunal Korgaonkar, Ishwar Bhati, Huichu Liu, Jayesh Gaur, Sasikanth Manipatruni, Sreenivas Subramoney, Tanay Karnik, Steven Swanson, Ian Young, Hong Wang
Density Tradeoffs of Non-Volatile Memory as a Replacement for SRAM Based Last Level Cache. ISCA (2018)
Sriseshan Srikanth, Lavanya Subramanian, Sreenivas Subramoney, Thomas M. Conte, Hong Wang
Tackling memory access latency through DRAM row management. MEMSYS (2018)
Anant Nori, Jayesh Gaur, Siddharth Rai, Sreenivas Subramoney, Hong Wang
Criticality Aware Tiered Cache Hierarchy: A Fundamental Relook at Multi-Level Cache Hierarchies. ISCA (2018)
Ishwar Bhati, Udit Dhawan, Jayesh Gaur, Sreenivas Subramoney, Hong Wang
MARS: Memory Aware Reordered Source. CoRR (2018)
Lavanya Subramanian, Kaushik Vaidyanathan, Anant Nori, Sreenivas Subramoney, Tanay Karnik, Hong Wang
Closed yet open DRAM: achieving low latency and high performance in DRAM memory systems. DAC (2018)
Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
A coordinated multi-agent reinforcement learning approach to multi-level cache co-partitioning. DATE (2017)
Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
Cooperative Multi-Agent Reinforcement Learning-Based Co-optimization of Cores, Caches, and On-chip Network. ACM Trans. Archit. Code Optim. 14 (4) (2017)
Mainak Chaudhuri, Mukesh Agrawal, Jayesh Gaur, Sreenivas Subramoney
Micro-Sector Cache: Improving Space Utilization in Sectored DRAM Caches. ACM Trans. Archit. Code Optim. 14 (1) (2017)
Jayesh Gaur, Mainak Chaudhuri, Pradeep Ramachandran, Sreenivas Subramoney
Near-Optimal Access Partitioning for Memory Hierarchies with Multiple Heterogeneous Bandwidth Sources. HPCA (2017)
Jayesh Gaur, Alaa R. Alameldeen, Sreenivas Subramoney
Base-Victim Compression: An Opportunistic Cache Compression Architecture. ISCA (2016)
Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
Machine Learned Machines: Adaptive co-optimization of caches, cores, and On-chip Network. DATE (2016)
Preeti Ranjan Panda, Namita Sharma, Arun Kumar Pilania, Gummidipudi Krishnaiah, Sreenivas Subramoney, Ashok Jagannathan
Array scalarization in high level synthesis. ASP-DAC (2014)
Jayesh Gaur, Raghuram Srinivasan, Sreenivas Subramoney, Mainak Chaudhuri
Efficient management of last-level caches in graphics processors for 3D scene rendering workloads. MICRO (2013)
Mainak Chaudhuri, Jayesh Gaur, Nithiyanandan Bashyam, Sreenivas Subramoney, Joseph Nuzman
Introducing hierarchy-awareness in replacement and bypass algorithms for last-level caches. PACT (2012)
Jayesh Gaur, Mainak Chaudhuri, Sreenivas Subramoney
Bypass and insertion algorithms for exclusive last-level caches. ISCA (2011)
Ali-Reza Adl-Tabatabai, Richard L. Hudson, Mauricio J. Serrano, Sreenivas Subramoney
Prefetch inection based on hardware monitoring and object metadata. PLDI (2004)
Richard L. Hudson, J. Eliot B. Moss, Sreenivas Subramoney, Weldon Washburn
Cycles to Recycle: Garbage Collection on the IA-64. ISMM (2000)