Analog Implementation of SNR based Gain Adaptation for Denoising. - Krishna T. Malladi; David V. Anderson (ISCAS, 2009)

Towards energy-proportional datacenter memory with mobile DRAM. - Krishna T. Malladi; Frank A. Nothaft; Karthika Periyathambi; Benjamin C. Lee; Christos Kozyrakis; Mark Horowitz (ISCA, 2012)

Rethinking DRAM Power Modes for Energy Proportionality. - Krishna T. Malladi; Ian Shaeffer; Liji Gopalakrishnan; David Lo 001; Benjamin C. Lee; Mark Horowitz (MICRO, 2012)

An ejection-chain heuristic for the satellite downlink scheduling problem: A case study with RADARSAT-2 - Daniel Karapetyan; Krishna T. Malladi; Snezana Mitrovic-Minic; Abraham P. Punnen (CoRR, 2012)

A Network Model for the Hospital Routing Problem. - Arash Rafiey; Vladyslav Sokol; Ramesh Krishnamurti; Snezana Mitrovic-Minic; Abraham P. Punnen; Krishna Teja Malladi (ICORES, 2015)

FAME: A Fast and Accurate Memory Emulator for New Memory System Architecture Exploration. - Krishna T. Malladi; Mu-Tien Chang; John Ping; Hongzhong Zheng (MASCOTS, 2015)

FlexDrive: A Framework to Explore NVMe Storage Solutions. - Krishna T. Malladi; Manu Awasthi; Hongzhong Zheng (HPCC/SmartCity/DSS, 2016)

KOVA : A tool for kernel visualization and analysis. - Manu Awasthi; Krishna T. Malladi (IPCCC, 2016)

DRAMPersist: Making DRAM Systems Persistent. - Krishna T. Malladi; Manu Awasthi; Hongzhong Zheng (MEMSYS, 2016)

DRAMScale: Mechanisms to Increase DRAM Capacity. - Krishna T. Malladi; Uksong Kang; Manu Awasthi; Hongzhong Zheng (MEMSYS, 2016)

Software-Defined Emulation Infrastructure for High Speed Storage. - Krishna T. Malladi; Manu Awasthi; Hongzhong Zheng (SYSTOR, 2016)

Docker characterization on high performance SSDs. - Qiumin Xu; Manu Awasthi; Krishna T. Malladi; Janki Bhimani; Jingpei Yang; Murali Annavaram (ISPASS, 2017)

DRISA: a DRAM-based reconfigurable in-situ accelerator. - Shuangchen Li; Dimin Niu; Krishna T. Malladi; Hongzhong Zheng; Bob Brennan; Yuan Xie 001 (MICRO, 2017)

FlashStorageSim: Performance Modeling for SSD Architectures. - Krishna T. Malladi; Mu-Tien Chang; Dimin Niu; Hongzhong Zheng (NAS, 2017)

Rack Level Scheduling for Containerized Workloads. - Qiumin Xu; Krishna T. Malladi; Manu Awasthi (NAS, 2017)

LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory. - Amirali Boroumand; Saugata Ghose; Minesh Patel; Hasan Hassan; Brandon Lucia; Kevin Hsieh; Krishna T. Malladi; Hongzhong Zheng; Onur Mutlu (IEEE Comput. Archit. Lett., 2017)

Clustered maximum weight clique problem: Algorithms and empirical analysis. - Krishna Teja Malladi; Snezana Mitrovic-Minic; Abraham P. Punnen (Comput. Oper. Res., 2017)

LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures. - Amirali Boroumand; Saugata Ghose; Minesh Patel; Hasan Hassan; Brandon Lucia; Nastaran Hajinazar; Kevin Hsieh; Krishna T. Malladi; Hongzhong Zheng; Onur Mutlu (CoRR, 2017)

DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. - Mingyu Gao 001; Christina Delimitrou; Dimin Niu; Krishna T. Malladi; Hongzhong Zheng; Bob Brennan; Christos Kozyrakis (IEEE Micro, 2017)

SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. - Shuangchen Li; Alvin Oliver Glova; Xing Hu 001; Peng Gu; Dimin Niu; Krishna T. Malladi; Hongzhong Zheng; Bob Brennan; Yuan Xie 001 (MICRO, 2018)

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 (ISCA, 2019)

Multi-Tier Buffer Management and Storage System Design for Non-Volatile Memory. - Joy Arulraj; Andy Pavlo; Krishna Teja Malladi (CoRR, 2019)

Optimizing Data Movement with Near-Memory Acceleration of In-memory DBMS. - Donghun Lee 001; Andrew Chang; Minseon Ahn; Jongmin Gim; Jungmin Kim; Jaemin Jung; Kang-Woo Choi; Vincent Pham; Oliver Rebholz; Krishna T. Malladi; Yang-Seok Ki (EDBT, 2020)

NEST: DIMM based Near-Data-Processing Accelerator for K-mer Counting. - Wenqin Huangfu; Krishna T. Malladi; Shuangchen Li; Peng Gu; Yuan Xie 001 (ICCAD, 2020)

NMTSim: Transaction-Command Based Simulator for New Memory Technology Devices. - Peng Gu; Benjamin S. Lim; Wenqin Huangfu; Krishna T. Malladi; Andrew Chang; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2020)

DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads. - Peng Gu; Xinfeng Xie; Shuangchen Li; Dimin Niu; Hongzhong Zheng; Krishna T. Malladi; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Enabling CXL Memory Expansion for In-Memory Database Management Systems. - Minseon Ahn; Andrew Chang; Donghun Lee 001; Jongmin Gim; Jungmin Kim; Jaemin Jung; Oliver Rebholz; Vincent Pham; Krishna T. Malladi; Yang-Seok Ki (DaMoN, 2022)

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 001 (MICRO, 2022)