Real time low complexity VLSI decoder for prefix coded images. - Atif Iqbal Ahangar; Rajat Agarwal; Kartik Lakhotia (ISCAS, 2016)

Low-Power, Low-Latency Hermite Polynomial Characterization of Heartbeats Using a Field-Programmable Gate Array. - Kartik Lakhotia; Gabriel Caffarena; Alberto Gil 001; David G. Márquez; Abraham Otero; Madhav P. Desai (IWBBIO, 2016)

ReCALL: Reordered Cache Aware Locality Based Graph Processing. - Kartik Lakhotia; Shreyas G. Singapura; Rajgopal Kannan; Viktor K. Prasanna (HiPC, 2017)

Quickly finding a truss in a haystack. - Oded Green; James Fox; Euna Kim; Federico Busato; Nicola Bombieri; Kartik Lakhotia; Shijie Zhou 001; Shreyas G. Singapura; Hanqing Zeng; Rajgopal Kannan; Viktor K. Prasanna; David A. Bader (HPEC, 2017)

Design and implementation of parallel PageRank on multicore platforms. - Shijie Zhou 001; Kartik Lakhotia; Shreyas G. Singapura; Hanqing Zeng; Rajgopal Kannan; Viktor K. Prasanna; James Fox; Euna Kim; Oded Green; David A. Bader (HPEC, 2017)

A Fast and Efficient Parallel Algorithm for Pruned Landmark Labeling. - Qing Dong; Kartik Lakhotia; Hanqing Zeng; Rajgopal Karman; Viktor K. Prasanna; Guna Seetharaman (HPEC, 2018)

Accelerating PageRank using Partition-Centric Processing. - Kartik Lakhotia; Rajgopal Kannan; Viktor K. Prasanna (USENIX ATC, 2018)

GPOP: A cache- and work-efficient framework for Graph Processing Over Partitions. - Kartik Lakhotia; Sourav Pati; Rajgopal Kannan; Viktor K. Prasanna (CoRR, 2018)

Parallel edge-based sampling for static and dynamic graphs. - Kartik Lakhotia; Rajgopal Kannan; Aditya Gaur; Ajitesh Srivastava; Viktor K. Prasanna (CF, 2019)

Approximation Algorithms for Coordinating Ad Campaigns on Social Networks. - Kartik Lakhotia; David Kempe 001 (CIKM, 2019)

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. - Yue Niu 001; Hanqing Zeng; Ajitesh Srivastava; Kartik Lakhotia; Rajgopal Kannan; Yanzhi Wang; Viktor K. Prasanna (HiPC, 2019)

GPOP: a cache and memory-efficient framework for graph processing over partitions. - Kartik Lakhotia; Rajgopal Kannan; Sourav Pati; Viktor K. Prasanna (PPoPP, 2019)

Planting Trees for scalable and efficient Canonical Hub Labeling. - Kartik Lakhotia; Rajgopal Kannan; Qing Dong; Viktor K. Prasanna (Proc. VLDB Endow., 2019)

RECEIPT: REfine CoarsE-grained IndePendent Tasks for Parallel Tip decomposition of Bipartite Graphs. - Kartik Lakhotia; Rajgopal Kannan; Viktor K. Prasanna; César A. F. De Rose (Proc. VLDB Endow., 2020)

GPOP: A Scalable Cache- and Memory-efficient Framework for Graph Processing over Parts. - Kartik Lakhotia; Rajgopal Kannan; Sourav Pati; Viktor K. Prasanna (ACM Trans. Parallel Comput., 2020)

In-network reductions on multi-dimensional HyperX. - Kartik Lakhotia; Fabrizio Petrini; Rajgopal Kannan; Viktor K. Prasanna (HOTI, 2021)

Accelerating Prefix Scan with in-network computing on Intel PIUMA. - Kartik Lakhotia; Fabrizio Petrini; Rajgopal Kannan; Viktor K. Prasanna (HIPC, 2022)

PolarFly: A Cost-Effective and Flexible Low-Diameter Topology. - Kartik Lakhotia; Maciej Besta; Laura Monroe; Kelly Isham; Patrick Iff; Torsten Hoefler; Fabrizio Petrini (SC, 2022)

Accelerating Allreduce With In-Network Reduction on Intel PIUMA. - Kartik Lakhotia; Fabrizio Petrini; Rajgopal Kannan; Viktor K. Prasanna (IEEE Micro, 2022)

Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA. - Matthew Joseph Adiletta; Jesmin Jahan Tithi; Emmanouil-Ioannis Farsarakis; Gerasimos Gerogiannis; Robert Adolf; Robert Benke; Sidharth Kashyap; Samuel Hsia; Kartik Lakhotia; Fabrizio Petrini; Gu-Yeon Wei; David Brooks 001 (ISPASS, 2023)

In-network Allreduce with Multiple Spanning Trees on PolarFly. - Kartik Lakhotia; Kelly Isham; Laura Monroe; Maciej Besta; Torsten Hoefler; Fabrizio Petrini (SPAA, 2023)

PolarStar: Expanding the Scalability Horizon of Diameter-3 Networks. - Kartik Lakhotia; Laura Monroe; Kelly Isham; Maciej Besta; Nils Blach; Torsten Hoefler; Fabrizio Petrini (CoRR, 2023)

Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery. - Kartik Lakhotia; Rajgopal Kannan; Viktor K. Prasanna (ACM Trans. Parallel Comput., 2023)

A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. - Nils Blach; Maciej Besta; Daniele De Sensi; Jens Domke; Hussein Harake; Shigang Li 002; Patrick Iff; Marek Konieczny; Kartik Lakhotia; Ales Kubicek; Marcel Ferrari; Fabrizio Petrini; et al. (NSDI, 2024)

Towards a Scalable Parallel Infomap Algorithm for Community Detection. - Gabriel G. Santos; Kartik Lakhotia; César A. F. De Rose (PDP, 2024)

PolarStar: Expanding the Horizon of Diameter-3 Networks. - Kartik Lakhotia; Laura Monroe; Kelly Isham; Maciej Besta; Nils Blach; Torsten Hoefler; Fabrizio Petrini (SPAA, 2024)

Edge-Disjoint Spanning Trees on Star-Product Networks. - Aleyah Dawkins; Kelly Isham; Ales Kubicek; Kartik Lakhotia; Laura Monroe (CoRR, 2024)

Abstract: A Family of Post-Exascale Networks. - Laura Monroe; Kartik Lakhotia; Kelly Isham; Fabrizio Petrini (HOPC@SPAA, 2025)

Edge-Disjoint Spanning Trees on Star Products. - Kelly Isham; Laura Monroe; Kartik Lakhotia; Aleyah Dawkins; Daniel Hwang; Ales Kubicek (IPDPS, 2025)

The Current Landscape of Scalable Dynamic Graph Processing. - Gabriel G. Dos Santos; César A. F. De Rose; Kartik Lakhotia (IEEE Access, 2025)