Kaushik Rajan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
15
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGMOD | CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric. | Matteo Interlandi, Nicolas Bruno, Brandon Haynes, Carlo Curino, Rathijit Sen, Yinan Li, Kaushik Rajan, Bailu Ding, Lukas M. Maas, Wei Cui, Kevin Gaffney, Mingsheng Hong, Brian Kroth, Sampath Rajendra, Peng Cheng, Surajit Chaudhuri, Johannes Gehrke, Raghu Ramakrishnan, Lidong Zhou, Momin Al-Ghosien, Craig Peeper, Marius Dumitru, Conor Cunningham, Kevin Bocksrocker, Prasanna Sundar, Ron Boskovic, YongChul Kwon, Marko Zivanovic, Runbin Shi, Krystian Sakowski, Denis Lamtsov, Josep Aguilar-Saborit, Krish Srinivasan, Adarsh Kapil, Andrew Putnam, Anudeep Kambapu, Aparna Konduri, Aaron Landy, Aaron Moore, Aaron Pitman, Artem Oks, Ashit Gosalia, Babu Kandimalla, Blake Pelton, Bogdan Crivat, Csar A. Galindo-Legaria, Chidamber Kulkarni, Jess Camacho-Rodrguez, Evgeny Babin, Hans Lehnert Marino, Igor Konev, Israel Arroyo, Luis Pearanda, Mandar Datar, Morten Borup Petersen, Nicholas Simmons, Parminder Poonian, Pravija Danda, Rob Rydberg, Esteban Calvo Vargas, Ronak Bajaj, Sai Sumanth Kammal Shetty, Sharanya Bhat, Zach Iracheta |
| 2024 | CIDR | Welding Natural Language Queries to Analytics IRs with LLMs. | Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel |
| 2024 | SOSP | SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference. | Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R. Govindarajan, Uday Bondhugula |
| 2022 | MICRO | Treebeard: An Optimizing Compiler for Decision Tree Based ML Inference. | Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R. Govindarajan, Uday Bondhugula |
| 2020 | OSDI | Generalized Sub-Query Fusion for Eliminating Redundant I/O from Big-Data Queries. | Partho Sarthi, Kaushik Rajan, Akash Lal, Abhishek Modi, Prakhar Jain, Mo Liu, Ashit Gosalia, Saurabh Kalikar |
| 2019 | FAST | INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. | Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia |
| 2017 | SOSP | Optimizing Big-Data Queries Using Program Synthesis. | Matthias Schlaipfer, Kaushik Rajan, Akash Lal, Malavika Samak |
| 2016 | CLOUD | PerfOrator: eloquent performance models for Resource Optimization. | Kaushik Rajan, Dharmesh Kakadia, Carlo Curino, Subru Krishnan |
| 2012 | ISCA | Probabilistic Shared Cache Management (PriSM). | R. Manikantan, Kaushik Rajan, R. Govindarajan |
| 2012 | PODC | Generalized lattice agreement. | Jose M. Faleiro, Sriram K. Rajamani, Kaushik Rajan, G. Ramalingam, Kapil Vaswani |
| 2011 | ECOOP | Specification-based sketching with Sketch. | Hesam Samimi, Kaushik Rajan |
| 2011 | HPCA | NUcache: An efficient multicore cache organization based on Next-Use distance. | R. Manikantan, Kaushik Rajan, R. Govindarajan |
| 2011 | PLDI | ALTER: exploiting breakable dependences for parallelization. | Abhishek Udupa, Kaushik Rajan, William Thies |
| 2010 | PLDI | GUESSTIMATE: a programming model for collaborative distributed systems. | Kaushik Rajan, Sriram K. Rajamani, Shashank Yaduvanshi |
| 2010 | PPoPP | Compiler aided selective lock assignment for improving the performance of software transactional memory. | Sandya Mannarswamy, Dhruva R. Chakrabarti, Kaushik Rajan, Sujoy Saraswati |
| 2009 | APLAS | Scalable Context-Sensitive Points-to Analysis Using Multi-dimensional Bloom Filters. | Rupesh Nasre, Kaushik Rajan, Ramaswamy Govindarajan, Uday P. Khedker |
| 2007 | MICRO | Emulating Optimal Replacement with a Shepherd Cache. | Kaushik Rajan, Ramaswamy Govindarajan |
| 2005 | ICS | A heterogeneously segmented cache architecture for a packet forwarding engine. | Kaushik Rajan, Ramaswamy Govindarajan |