Krishna T. Malladi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | Power Sloshing in Compound Servers for Large-Scale AI Inference Workloads. | Albert Cho, Jovan Stojkovic, Leonardo Piga, Abhishek Dhanotia, Sultan Mahmud Sajal, Gefei Zuo, Krishna T. Malladi, Devon Akers, Kalyan Subramanian, Shobhit O. Kanaujia, Alexandros Daglis |
| 2022 | DaMoN | Enabling CXL Memory Expansion for In-Memory Database Management Systems. | Minseon Ahn, Andrew Chang, Donghun Lee, Jongmin Gim, Jungmin Kim, Jaemin Jung, Oliver Rebholz, Vincent Pham, Krishna T. Malladi, Yang-Seok Ki |
| 2022 | MICRO | BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support. | Wenqin Huangfu, Krishna T. Malladi, Andrew Chang, Yuan Xie |
| 2020 | EDBT | Optimizing Data Movement with Near-Memory Acceleration of In-memory DBMS. | Donghun Lee, Andrew Chang, Minseon Ahn, Jongmin Gim, Jungmin Kim, Jaemin Jung, Kang-Woo Choi, Vincent Pham, Oliver Rebholz, Krishna T. Malladi, Yang-Seok Ki |
| 2020 | ICCAD | NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting. | Wenqin Huangfu, Krishna T. Malladi, Shuangchen Li, Peng Gu, Yuan Xie |
| 2019 | ISCA | CoNDA: efficient cache coherence support for near-data accelerators. | Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu |
| 2018 | MICRO | SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. | Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie |
| 2017 | ISPASS | Docker characterization on high performance SSDs. | Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram |
| 2017 | MICRO | DRISA: a DRAM-based reconfigurable in-situ accelerator. | Shuangchen Li, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie |
| 2016 | HPCC | FlexDrive: A Framework to Explore NVMe Storage Solutions. | Krishna T. Malladi, Manu Awasthi, Hongzhong Zheng |
| 2016 | IPCCC | KOVA : A tool for kernel visualization and analysis. | Manu Awasthi, Krishna T. Malladi |
| 2016 | ISCA | DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. | Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis |
| 2016 | SYSTOR | Software-Defined Emulation Infrastructure for High Speed Storage. | Krishna T. Malladi, Manu Awasthi, Hongzhong Zheng |
| 2015 | MASCOTS | FAME: A Fast and Accurate Memory Emulator for New Memory System Architecture Exploration. | Krishna T. Malladi, Mu-Tien Chang, John Ping, Hongzhong Zheng |
| 2012 | ISCA | Towards energy-proportional datacenter memory with mobile DRAM. | Krishna T. Malladi, Frank A. Nothaft, Karthika Periyathambi, Benjamin C. Lee, Christos Kozyrakis, Mark Horowitz |
| 2012 | MICRO | Rethinking DRAM Power Modes for Energy Proportionality. | Krishna T. Malladi, Ian Shaeffer, Liji Gopalakrishnan, David Lo, Benjamin C. Lee, Mark Horowitz |
| 2009 | ISCAS | Analog Implementation of SNR based Gain Adaptation for Denoising. | Krishna T. Malladi, David V. Anderson |