Sreenivas Subramoney

77 papers A* 28A 5B 4C 5Misc 1Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	TierScape: Harnessing Multiple Compressed Tiers to Tame Server Memory TCO. EuroSys Sandeep Kumar, Aravinda Prasad, Sreenivas Subramoney
2025	J	`jnl`	Analog and Temporary On-chip Memory for ANN Training and Inference. ACM J. Emerg. Technol. Comput. Syst. Shreyas Deshmukh, Raghav Singhal, Shruti Landge, Vivek Saraswat, Anmol Biswas, Abhishek Kadam, Ajay Kumar Singh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
2025	J	`jnl`	Efficient Memory Tiering in a Virtual Machine. CoRR Chandra Prakash, Aravinda Prasad, Sandeep Kumar, Sreenivas Subramoney
2025	C	`conf`	TierTrain: Proactive Memory Tiering for CPU-Based DNN Training. ISMM Sathvik Swaminathan, Sandeep Kumar, Aravinda Prasad, Sreenivas Subramoney
2024	J	`jnl`	ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis. ACM Trans. Archit. Code Optim. 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
2024	J	`jnl`	CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware. CoRR Souvik Kundu, Anthony Sarah, Vinay Joshi, Om Ji Omer, Sreenivas Subramoney
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
2024	J	`jnl`	QCQA: Quality and Capacity-aware grouped Query Attention. CoRR Vinay Joshi, Prashant Laddha, Shambhavi Sinha, Om Ji Omer, Sreenivas Subramoney
2024	J	`jnl`	Taming Server Memory TCO with Multiple Software-Defined Compressed Tiers. CoRR Sandeep Kumar, Aravinda Prasad, Sreenivas Subramoney
2024	—	`conf`	Telescope: Telemetry for Gargantuan Memory Footprint Applications. USENIX ATC Alan Nair, Sandeep Kumar, Aravinda Prasad, Ying Huang, Andy Rudoff, Sreenivas Subramoney
2024	J	`jnl`	iMIV: in-Memory Integrity Verification for NVM. CoRR Rajat Jain, Aravinda Prasad, Sreenivas Subramoney, Arkaprava Basu
2023	J	`jnl`	Enhanced regularization for on-chip training using analog and temporary memory weights. Neural Networks Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh, Sreenivas Subramoney, Laxmeesha Somappa, Maryam Shojaei Baghini, Udayan Ganguly
2023	J	`jnl`	Motivating Next-Generation OS Physical Memory Management for Terabyte-Scale NVMMs. CoRR Shivank Garg, Aravinda Prasad, Debadatta Mishra, Sreenivas Subramoney
2023	J	`jnl`	Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney
2023	J	`jnl`	Telescope: Telemetry at Terabyte Scale. CoRR Alan Nair, Sandeep Kumar, Aravinda Prasad, Andy Rudoff, Sreenivas Subramoney
2023	A*	`conf`	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2023	J	`jnl`	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2022	J	`jnl`	A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations. IEEE Trans. Neural Networks Learn. Syst. Sparsh Mittal, Poonam Rajput, Sreenivas Subramoney
2022	J	`jnl`	A Unified Programmable Edge Matrix Processor for Deep Neural Networks and Matrix Algebra. ACM Trans. Embed. Comput. Syst. Biji George, Om Ji Omer, Ziaul Choudhury, Anoop V, Sreenivas Subramoney
2022	J	`jnl`	ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis. CoRR 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
2022	C	`conf`	Compute-In-Memory Using 6T SRAM for a Wide Variety of Workloads. ISCAS Pramod Kumar Bharti, Saurabh Jain, Kamlesh R. Pillai, Sagar Varma Sayyaparaju, Gurpreet S. Kalsi, Joycee Mekie, Sreenivas Subramoney
2022	—	`conf`	Disrupting Low-Write-Energy vs. Fast-Read Dilemma in RRAM to Enable L1 Instruction Cache. VDAT Ashwin Sanjay Lele, Srivatsava Jandhyala, Saurabh Gangurde, Virendra Singh, Sreenivas Subramoney, Udayan Ganguly
2022	A*	`conf`	Register file prefetching. ISCA Sudhanshu Shukla, Sumeet Bandishte, Jayesh Gaur, Sreenivas Subramoney
2022	J	`jnl`	SeGraM: A Universal Hardware Accelerator for Genomic Sequence-to-Graph and Sequence-to-Sequence Mapping. CoRR 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
2022	A*	`conf`	SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. ISCA 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
2022	A*	`conf`	Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. CVPR Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney
2022	A*	`conf`	Speculative Code Compaction: Eliminating Dead Code via Speculative Microcode Transformations. MICRO Logan Moody, Wei Qi, Abdolrasoul Sharifi, Layne Berry, Joey Rudek, Jayesh Gaur, Jeff Parkhurst, Sreenivas Subramoney, Kevin Skadron, Ashish Venkat
2022	A*	`conf`	Thermometer: profile-guided btb replacement for data center applications. ISCA Shixin Song, Tanvir Ahmed Khan, Sara Mahdizadeh-Shahri, Akshitha Sriraman, Niranjan K. Soundararajan, Sreenivas Subramoney, Daniel A. Jiménez, Heiner Litz, Baris Kasikci
2022	J	`jnl`	Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video. CoRR Dipan Mandal, Abhilash Jain, Sreenivas Subramoney
2021	A*	`conf`	Cryptographic Capability Computing. MICRO Michael LeMay, Joydeep Rakshit, Sergej Deutsch, David M. Durham, Santosh Ghosh, Anant Nori, Jayesh Gaur, Andrew Weiler, Salmin Sultana, Karanvir Grewal, Sreenivas Subramoney
2021	Misc	`conf`	ONT-X: An FPGA Approach to Real-time Portable Genomic Analysis. FCCM C. N. Ramachandra, Anirban Nag, Rajeev Balasubramonian, Gurpreet S. Kalsi, Kamlesh R. Pillai, Sreenivas Subramoney
2021	A*	`conf`	PDede: Partitioned, Deduplicated, Delta Branch Target Buffer. MICRO Niranjan K. Soundararajan, Peter Braun, Tanvir Ahmed Khan, Baris Kasikci, Heiner Litz, Sreenivas Subramoney
2021	J	`jnl`	Page Table Management for Heterogeneous Memory Systems. CoRR Sandeep Kumar, Aravinda Prasad, Smruti R. Sarangi, Sreenivas Subramoney
2021	A*	`conf`	Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning. MICRO Rahul Bera, Konstantinos Kanellopoulos, Anant Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu
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`	RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2021	J	`jnl`	RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
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
2021	C	`conf`	Radiant: efficient page table management for tiered memory systems. ISMM Sandeep Kumar, Aravinda Prasad, Smruti R. Sarangi, Sreenivas Subramoney
2021	J	`jnl`	Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion. CoRR Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney
2021	A*	`conf`	Twig: Profile-Guided BTB Prefetching for Data Center Applications. MICRO Tanvir Ahmed Khan, Nathan Brown, Akshitha Sriraman, Niranjan K. Soundararajan, Rakesh Kumar, Joseph Devietti, Sreenivas Subramoney, Gilles A. Pokam, Heiner Litz, Baris Kasikci
2020	J	`jnl`	AccSS3D: Accelerator for Spatially Sparse 3D DNNs. CoRR Om Ji Omer, Prashant Laddha, Gurpreet S. Kalsi, Anirud Thyagharajan, Kamlesh R. Pillai, Abhimanyu Kulkarni, Anbang Yao, Yurong Chen, Sreenivas Subramoney
2020	A*	`conf`	Auto-Predication of Critical Branches. ISCA Adarsh Chauhan, Jayesh Gaur, Zeev Sperber, Franck Sala, Lihu Rappoport, Adi Yoaz, 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	B	`conf`	Descriptor Scoring for Feature Selection in Real-Time Visual Slam. ICIP Prashant Laddha, Om Ji Omer, Gurpreet Singh Kalsi, Dipan Kumar Mandal, Sreenivas Subramoney
2020	A*	`conf`	Focused Value Prediction. ISCA Sumeet Bandishte, Jayesh Gaur, Zeev Sperber, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
2020	A*	`conf`	GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. MICRO 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
2020	J	`jnl`	GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. CoRR 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
2020	A*	`conf`	Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. MICRO Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney
2020	B	`conf`	Opportunistic Early Pipeline Re-steering for Data-dependent Branches. PACT Saurabh Gupta, Niranjan Soundararajan, Ragavendra Natarajan, Sreenivas Subramoney
2020	A	`conf`	PSB-RNN: A Processing-in-Memory Systolic Array Architecture using Block Circulant Matrices for Recurrent Neural Networks. DATE Nagadastagiri Challapalle, Sahithi Rampalli, Makesh Chandran, Gurpreet S. Kalsi, Sreenivas Subramoney, John Sampson, Vijaykrishnan Narayanan
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
2020	J	`jnl`	REAL: REquest Arbitration in Last Level Caches. ACM Trans. Embed. Comput. Syst. Sakshi Tiwari, Shreshth Tuli, Isaar Ahmad, Ayushi Agarwal, Preeti Ranjan Panda, Sreenivas Subramoney
2020	A*	`conf`	Towards Noise Resilient SLAM. ICRA Anirud Thyagharajan, Om Ji Omer, Dipan Mandal, Sreenivas Subramoney
2019	C	`conf`	Bandwidth-Aware Last-Level Caching: Efficiently Coordinating Off-Chip Read and Write Bandwidth. ICCD Mainak Chaudhuri, Jayesh Gaur, 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
2019	A*	`conf`	Towards the adoption of Local Branch Predictors in Modern Out-of-Order Superscalar Processors. MICRO Niranjan Soundararajan, Saurabh Gupta, Ragavendra Natarajan, Jared Stark, Rahul Pal, Franck Sala, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney
2019	A	`conf`	Visual Inertial Odometry At the Edge: A Hardware-Software Co-design Approach for Ultra-low Latency and Power. DATE 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
2018	A*	`conf`	Closed yet open DRAM: achieving low latency and high performance in DRAM memory systems. DAC Lavanya Subramanian, Kaushik Vaidyanathan, Anant Nori, Sreenivas Subramoney, Tanay Karnik, Hong Wang
2018	A*	`conf`	Criticality Aware Tiered Cache Hierarchy: A Fundamental Relook at Multi-Level Cache Hierarchies. ISCA Anant Nori, Jayesh Gaur, Siddharth Rai, Sreenivas Subramoney, Hong Wang
2018	A*	`conf`	Density Tradeoffs of Non-Volatile Memory as a Replacement for SRAM Based Last Level Cache. ISCA Kunal Korgaonkar, Ishwar Bhati, Huichu Liu, Jayesh Gaur, Sasikanth Manipatruni, Sreenivas Subramoney, Tanay Karnik, Steven Swanson, Ian Young, Hong Wang
2018	J	`jnl`	MARS: Memory Aware Reordered Source. CoRR Ishwar Bhati, Udit Dhawan, Jayesh Gaur, Sreenivas Subramoney, Hong Wang
2018	—	`conf`	Tackling memory access latency through DRAM row management. MEMSYS Sriseshan Srikanth, Lavanya Subramanian, Sreenivas Subramoney, Thomas M. Conte, Hong Wang
2017	A	`conf`	A coordinated multi-agent reinforcement learning approach to multi-level cache co-partitioning. DATE Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
2017	J	`jnl`	Cooperative Multi-Agent Reinforcement Learning-Based Co-optimization of Cores, Caches, and On-chip Network. ACM Trans. Archit. Code Optim. Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
2017	J	`jnl`	Micro-Sector Cache: Improving Space Utilization in Sectored DRAM Caches. ACM Trans. Archit. Code Optim. Mainak Chaudhuri, Mukesh Agrawal, Jayesh Gaur, Sreenivas Subramoney
2017	A*	`conf`	Near-Optimal Access Partitioning for Memory Hierarchies with Multiple Heterogeneous Bandwidth Sources. HPCA Jayesh Gaur, Mainak Chaudhuri, Pradeep Ramachandran, Sreenivas Subramoney
2016	A*	`conf`	Base-Victim Compression: An Opportunistic Cache Compression Architecture. ISCA Jayesh Gaur, Alaa R. Alameldeen, Sreenivas Subramoney
2016	A	`conf`	Machine Learned Machines: Adaptive co-optimization of caches, cores, and On-chip Network. DATE Rahul Jain, Preeti Ranjan Panda, Sreenivas Subramoney
2014	—	`conf`	Array scalarization in high level synthesis. ASP-DAC Preeti Ranjan Panda, Namita Sharma, Arun Kumar Pilania, Gummidipudi Krishnaiah, Sreenivas Subramoney, Ashok Jagannathan
2013	A*	`conf`	Efficient management of last-level caches in graphics processors for 3D scene rendering workloads. MICRO Jayesh Gaur, Raghuram Srinivasan, Sreenivas Subramoney, Mainak Chaudhuri
2012	B	`conf`	Introducing hierarchy-awareness in replacement and bypass algorithms for last-level caches. PACT Mainak Chaudhuri, Jayesh Gaur, Nithiyanandan Bashyam, Sreenivas Subramoney, Joseph Nuzman
2011	A*	`conf`	Bypass and insertion algorithms for exclusive last-level caches. ISCA Jayesh Gaur, Mainak Chaudhuri, Sreenivas Subramoney
2004	A*	`conf`	Prefetch inection based on hardware monitoring and object metadata. PLDI Ali-Reza Adl-Tabatabai, Richard L. Hudson, Mauricio J. Serrano, Sreenivas Subramoney
2000	C	`conf`	Cycles to Recycle: Garbage Collection on the IA-64. ISMM Richard L. Hudson, J. Eliot B. Moss, Sreenivas Subramoney, Weldon Washburn