Kiran Kumar Matam

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 10

Top Topics

Unsupervised Learning

Graphical Representation

Top Venues

Publications

Kiran Kumar Matam, Hani Ramezani, Fan Wang, Zeliang Chen, Yue Dong, Maomao Ding, Zhiwei Zhao, Zhengyu Zhang, Ellie Wen, Assaf Eisenman
QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models. NSDI (2024)
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Krishnakumar Nair, Misha Smelyanskiy, Murali Annavaram
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models. NSDI (2022)
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA (2022)
Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. IPDPS (2021)
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models. CoRR (2021)
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy
Check-N-Run: A Checkpointing System for Training Recommendation Models. CoRR (2020)
Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram
GraphSSD: graph semantics aware SSD. ISCA (2019)
Kiran Kumar Matam, Mohammad Abdel-Majeed, Murali Annavaram
Efficient automatic parallelization of a single GPU program for a multiple GPU system. Integr. 66 (2019)
Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. CoRR (2019)
Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram
Summarizer: trading communication with computing near storage. MICRO (2017)
Kiran Kumar Matam, Ming Hsieh
Evaluating energy efficiency of floating point matrix multiplication on FPGAs. HPEC (2013)
Kiran Kumar Matam, Viktor K. Prasanna
Algorithm Design Methodology for Embedded Architectures. ARC (2013)
Kiran Kumar Matam, Viktor K. Prasanna
Energy-efficient large-scale matrix multiplication on FPGAs. ReConFig (2013)
Da Tong, Lu Sun, Kiran Kumar Matam, Viktor K. Prasanna
High throughput and programmable online trafficclassifier on FPGA. FPGA (2013)
Kiran Kumar Matam, Hoang Le, Viktor K. Prasanna
Energy efficient architecture for matrix multiplication on FPGAs. FPL (2013)
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, Aditya Deshpande, Ishan Misra, Siddharth Choudhary, Shubham Gupta
CPU and/or GPU: Revisiting the GPU Vs. CPU Myth CoRR (2013)
Kiran Kumar Matam, Siva Rama Krishna Bharadwaj Indarapu, Kishore Kothapalli
Sparse matrix-matrix multiplication on modern architectures. HiPC (2012)
Kiran Kumar Matam, Kishore Kothapalli
Accelerating Sparse Matrix Vector Multiplication in Iterative Methods Using GPU. ICPP (2011)
Kiran Kumar Matam, Kishore Kothapalli
GPU Accelerated Lanczos Algorithm with Applications. AINA Workshops (2011)
Jyothish Soman, Kiran Kumar Matam, Kishore Kothapalli, P. J. Narayanan
Efficient Discrete Range Searching primitives on the GPU with applications. HiPC (2010)