Efficient Discrete Range Searching primitives on the GPU with applications. - Jyothish Soman; Kiran Kumar Matam; Kishore Kothapalli; P. J. Narayanan (HiPC, 2010)

GPU Accelerated Lanczos Algorithm with Applications. - Kiran Kumar Matam; Kishore Kothapalli (AINA Workshops, 2011)

Accelerating Sparse Matrix Vector Multiplication in Iterative Methods Using GPU. - Kiran Kumar Matam; Kishore Kothapalli (ICPP, 2011)

Sparse matrix-matrix multiplication on modern architectures. - Kiran Kumar Matam; Siva Rama Krishna Bharadwaj Indarapu; Kishore Kothapalli (HiPC, 2012)

Algorithm Design Methodology for Embedded Architectures. - Kiran Kumar Matam; Viktor K. Prasanna (ARC, 2013)

High throughput and programmable online trafficclassifier on FPGA. - Da Tong; Lu Sun; Kiran Kumar Matam; Viktor K. Prasanna (FPGA, 2013)

Energy efficient architecture for matrix multiplication on FPGAs. - Kiran Kumar Matam; Hoang Le; Viktor K. Prasanna (FPL, 2013)

Evaluating energy efficiency of floating point matrix multiplication on FPGAs. - Kiran Kumar Matam; Ming Hsieh (HPEC, 2013)

Energy-efficient large-scale matrix multiplication on FPGAs. - Kiran Kumar Matam; Viktor K. Prasanna (ReConFig, 2013)

CPU and/or GPU: Revisiting the GPU Vs. CPU Myth - Kishore Kothapalli; Dip Sankar Banerjee; P. J. Narayanan; Surinder Sood; Aman Kumar Bahl; Shashank Sharma; Shrenik Lad; Krishna Kumar Singh; Kiran Kumar Matam; Sivaramakrishna Bharadwaj; Rohit Nigam; Parikshit Sakurikar; et al. (CoRR, 2013)

Summarizer: trading communication with computing near storage. - Gunjae Koo; Kiran Kumar Matam; Te I; H. V. Krishna Giri Narra; Jing Li 021; Hung-Wei Tseng 001; Steven Swanson; Murali Annavaram (MICRO, 2017)

GraphSSD: graph semantics aware SSD. - Kiran Kumar Matam; Gunjae Koo; Haipeng Zha 001; Hung-Wei Tseng 001; Murali Annavaram (ISCA, 2019)

PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. - Kiran Kumar Matam; Hanieh Hashemi; Murali Annavaram (CoRR, 2019)

Efficient automatic parallelization of a single GPU program for a multiple GPU system. - Kiran Kumar Matam; Mohammad Abdel-Majeed; Murali Annavaram (Integr., 2019)

Check-N-Run: A Checkpointing System for Training Recommendation Models. - Assaf Eisenman; Kiran Kumar Matam; Steven Ingram; Dheevatsa Mudigere; Raghuraman Krishnamoorthi; Murali Annavaram; Krishnakumar Nair; Misha Smelyanskiy (CoRR, 2020)

MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. - Kiran Kumar Matam; Hanieh Hashemi; Murali Annavaram (IPDPS, 2021)

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; Leon Gao; et al. (CoRR, 2021)

Software-hardware co-design for fast and scalable training of deep learning recommendation models. - Dheevatsa Mudigere; Yuchen Hao; Jianyu Huang; Zhihao Jia; Andrew Tulloch; Srinivas Sridharan 002; Xing Liu; Mustafa Ozdal; Jade Nie; Jongsoo Park; Liang Luo; Jie Amy Yang; et al. (ISCA, 2022)

Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models. - Assaf Eisenman; Kiran Kumar Matam; Steven Ingram; Dheevatsa Mudigere; Raghuraman Krishnamoorthi; Krishnakumar Nair; Misha Smelyanskiy; Murali Annavaram (NSDI, 2022)

QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models. - Kiran Kumar Matam; Hani Ramezani; Fan Wang; Zeliang Chen; Yue Dong; Maomao Ding; Zhiwei Zhao; Zhengyu Zhang; Ellie Wen; Assaf Eisenman (NSDI, 2024)