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ORCIDKrishna T. Malladi
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2020 – today
- 2022
[c21]Minseon Ahn
, Andrew Chang, Donghun Lee, Jongmin Gim, Jungmin Kim, Jaemin Jung, Oliver Rebholz, Vincent Pham, Krishna T. Malladi, Yang-Seok Ki:
Enabling CXL Memory Expansion for In-Memory Database Management Systems. DaMoN 2022: 8:1-8:5- [c20]Wenqin Huangfu, Krishna T. Malladi, Andrew Chang, Yuan Xie:
BEACON: Scalable Near-Data-Processing Accelerators for Genome Analysis near Memory Pool with the CXL Support. MICRO 2022: 727-743 - 2021
- [j5]Peng Gu, Xinfeng Xie, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Krishna T. Malladi, Yuan Xie:
DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(8): 1586-1599 (2021) - 2020
- [j4]Peng Gu, Benjamin S. Lim, Wenqin Huangfu, Krishna T. Malladi, Andrew Chang, Yuan Xie:
NMTSim: Transaction-Command Based Simulator for New Memory Technology Devices. IEEE Comput. Archit. Lett. 19(1): 76-79 (2020) - [c19]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:
Optimizing Data Movement with Near-Memory Acceleration of In-memory DBMS. EDBT 2020: 371-374 - [c18]Wenqin Huangfu, Krishna T. Malladi, Shuangchen Li, Peng Gu, Yuan Xie:
NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting. ICCAD 2020: 28:1-28:9
2010 – 2019
- 2019
- [c17]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
CoNDA: efficient cache coherence support for near-data accelerators. ISCA 2019: 629-642 - [i3]Joy Arulraj, Andy Pavlo, Krishna Teja Malladi:
Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. CoRR abs/1901.10938 (2019) - 2018
- [c16]Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie:
SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. MICRO 2018: 696-709 - 2017
- [j3]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory. IEEE Comput. Archit. Lett. 16(1): 46-50 (2017) - [j2]Krishna Teja Malladi, Snezana Mitrovic-Minic, Abraham P. Punnen:
Clustered maximum weight clique problem: Algorithms and empirical analysis. Comput. Oper. Res. 85: 113-128 (2017) - [j1]Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis:
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. IEEE Micro 37(3): 70-78 (2017) - [c15]Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram:
Docker characterization on high performance SSDs. ISPASS 2017: 133-134 - [c14]Shuangchen Li, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie:
DRISA: a DRAM-based reconfigurable in-situ accelerator. MICRO 2017: 288-301 - [c13]Krishna T. Malladi, Mu-Tien Chang, Dimin Niu, Hongzhong Zheng:
FlashStorageSim: Performance Modeling for SSD Architectures. NAS 2017: 1-2 - [c12]Qiumin Xu, Krishna T. Malladi, Manu Awasthi:
Rack Level Scheduling for Containerized Workloads. NAS 2017: 1-2 - [i2]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Nastaran Hajinazar, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures. CoRR abs/1706.03162 (2017) - 2016
- [c11]Krishna T. Malladi, Manu Awasthi, Hongzhong Zheng:
FlexDrive: A Framework to Explore NVMe Storage Solutions. HPCC/SmartCity/DSS 2016: 1115-1122 - [c10]Manu Awasthi, Krishna T. Malladi:
KOVA : A tool for kernel visualization and analysis. IPCCC 2016: 1-3 - [c9]Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis:
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. ISCA 2016: 506-518 - [c8]Krishna T. Malladi, Manu Awasthi, Hongzhong Zheng:
DRAMPersist: Making DRAM Systems Persistent. MEMSYS 2016: 94-95 - [c7]Krishna T. Malladi, Uksong Kang, Manu Awasthi, Hongzhong Zheng:
DRAMScale: Mechanisms to Increase DRAM Capacity. MEMSYS 2016: 325-326 - [c6]Krishna T. Malladi, Manu Awasthi, Hongzhong Zheng:
Software-Defined Emulation Infrastructure for High Speed Storage. SYSTOR 2016: 22:1 - 2015
- [c5]Arash Rafiey, Vladyslav Sokol, Ramesh Krishnamurti, Snezana Mitrovic-Minic, Abraham P. Punnen, Krishna Teja Malladi:
A Network Model for the Hospital Routing Problem. ICORES 2015: 353-358 - [c4]Krishna T. Malladi, Mu-Tien Chang, John Ping, Hongzhong Zheng:
FAME: A Fast and Accurate Memory Emulator for New Memory System Architecture Exploration. MASCOTS 2015: 43-46 - 2012
- [c3]Krishna T. Malladi, Frank A. Nothaft, Karthika Periyathambi, Benjamin C. Lee, Christos Kozyrakis, Mark Horowitz:
Towards energy-proportional datacenter memory with mobile DRAM. ISCA 2012: 37-48 - [c2]Krishna T. Malladi, Ian Shaeffer, Liji Gopalakrishnan, David Lo, Benjamin C. Lee, Mark Horowitz:
Rethinking DRAM Power Modes for Energy Proportionality. MICRO 2012: 131-142 - [i1]Daniel Karapetyan, Krishna T. Malladi, Snezana Mitrovic-Minic, Abraham P. Punnen:
An ejection-chain heuristic for the satellite downlink scheduling problem: A case study with RADARSAT-2. CoRR abs/1206.5503 (2012)
2000 – 2009
- 2009
- [c1]Krishna T. Malladi, David V. Anderson:
Analog Implementation of SNR based Gain Adaptation for Denoising. ISCAS 2009: 269-272
Coauthor Index
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