Trail: Effective, Low-Cost and Scalable Temporal TLB Prefetching via Page-Table-Embedded Deltas
Konstantinos Kanellopoulos, Konstantinos Sgouras, Harsh Songara, Rahul Bera, Onur Mutlu
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Research record
Publications
Peer-reviewed papers, journal articles, preprints, and dissertations. For a comprehensive list, please check DBLP and Google Scholar.
2026
(06)Revelator: Rapid Data Fetching via System-Software-Guided Hash-based Speculative Address Translation
Konstantinos Kanellopoulos, Konstantinos Sgouras, Harsh Songara, Andreas Kosmas Kakolyris, Vlad-Petru Nitu, Spiros Galanopoulos, Rahul Bera, Konstantina Koliogeorgi, Rakesh Kumar, Onur Mutlu
Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning
Rakesh Nadig, Vamanan Arulchelvan, Rahul Bera, Taha Shahroodi, Gagandeep Singh, Andreas Kosmas Kakolyris, Ismail Emir Yuksel, Mohammad Sadrosadati, Jisung Park, Onur Mutlu
Athena: Synergizing Data Prefetching and Off-Chip Prediction via Online Reinforcement Learning
Rahul Bera, Zhenrong Lang, Caroline Hengartner, Konstantinos Kanellopoulos, Rakesh Kumar, Mohammad Sadrosadati, Onur Mutlu
Distinguished Artifact Award, HPCA 2026
Officially evaluated as available, functional, and reproducible
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
Rakesh Nadig, Vamanan Arulchelvan, Mayank Kabra, Harshita Gupta, Rahul Bera, Nika Mansouri Ghiasi, Nanditha Rao, Qingcai Jiang, Andreas Kosmas Kakolyris, Yu Liang, Mohammad Sadrosadati, Onur Mutlu
2025
(02)Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation Methodology
Konstantinos Kanellopoulos, Konstantinos Sgouras, F. Nisa Bostanci, Andreas Kosmas Kakolyris, Berkin Kerim Konar, Rahul Bera, Mohammad Sadrosadati, Rakesh Kumar, Nandita Vijaykumar, Onur Mutlu
CIPHERMATCH: Accelerating Homomorphic Encryption-Based String Matching via Memory-Efficient Data Packing and In-Flash Processing
Mayank Kabra, Rakesh Nadig, Harshita Gupta, Rahul Bera, Manos Frouzakis, Vamanan Arulchelvan, Yu Liang, Haiyu Mao, Mohammad Sadrosadati, Onur Mutlu
2024
(02)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
Best Paper Award, ISCA 2024
Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture
Ataberk Olgun, F. Nisa Bostanci, Geraldo F. Oliveira, Yahya Can Tugrul, Rahul Bera, A. Giray Yaglikci, Hasan Hassan, Oguz Ergin, Onur Mutlu
2023
(03)Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources
Konstantinos Kanellopoulos, Hong Chul Nam, F. Nisa Bostanci, Rahul Bera, Mohammad Sadrosadati, Rakesh Kumar, Davide Basilio Bartolini, Onur Mutlu
Distinguished Artifact Award, MICRO 2023
Officially evaluated as available, functional, reproducible, and reusable
Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings
Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, F. Nisa Bostanci, Can Firtina, Rachata Ausavarungnirun, Rakesh Kumar, Nastaran Hajinazar, Mohammad Sadrosadati, Nandita Vijaykumar, Onur Mutlu
Casper: Accelerating Stencil Computations using Near-Cache Processing
Alain Denzler, Geraldo F. Oliveira, Nastaran Hajinazar, Rahul Bera, Gagandeep Singh, Juan Gómez-Luna, Onur Mutlu
2022
(02)Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction
Rahul Bera, Konstantinos Kanellopoulos, Shankar Balachandran, David Novo, Ataberk Olgun, Mohammad Sadrosadati, Onur Mutlu
Best Paper Award, MICRO 2022
Officially evaluated as available, functional, and reproducible
Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning
Gagandeep Singh, Rakesh Nadig, Jisung Park, Rahul Bera, Nastaran Hajinazar, David Novo, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu
2021
(03)Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning
Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu
Officially evaluated as available, functional, and reproducible
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 J. Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney
2020
(01)Proximu$: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute
Anant V. Nori, Rahul Bera, Shankar Balachandran, Joydeep Rakshit, Om J. Omer, Avishaii Abuhatzera, Belliappa Kuttanna, Sreenivas Subramoney
2019
(01)Dissertations
(02)Mitigating the Memory Bottleneck with Machine Learning-Driven and Data-Aware Microarchitectural Techniques
Rahul Bera
Summary:20-minute video