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ORCIDKaushik Rajan
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2020 – today
- 2024
[c24]Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel:
Welding Natural Language Queries to Analytics IRs with LLMs. CIDR 2024- [c23]Ashwin Prasad
, Sampath Rajendra, Kaushik Rajan, R. Govindarajan, Uday Bondhugula:
SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference. SOSP 2024: 488-504 - 2022
- [c22]Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R. Govindarajan, Uday Bondhugula:
Treebeard: An Optimizing Compiler for Decision Tree Based ML Inference. MICRO 2022: 494-511 - 2021
- [j4]Abhishek Modi, Kaushik Rajan, Srinivas Thimmaiah, Prakhar Jain, Swinky Mann, Ayushi Agarwal, Ajith Shetty, Shahid K. I, Ashit Gosalia, Partho Sarthi:
New Query Optimization Techniques in the Spark Engine of Azure Synapse. Proc. VLDB Endow. 15(4): 936-948 (2021) - 2020
- [j3]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. ACM Trans. Storage 15(4): 23:1-23:30 (2020) - [c21]Partho Sarthi, Kaushik Rajan, Akash Lal, Abhishek Modi, Prakhar Jain, Mo Liu, Ashit Gosalia, Saurabh Kalikar:
Generalized Sub-Query Fusion for Eliminating Redundant I/O from Big-Data Queries. OSDI 2020: 209-224
2010 – 2019
- 2019
- [j2]Jyoti Leeka, Kaushik Rajan:
Incorporating Super-Operators in Big-Data Query Optimizers. Proc. VLDB Endow. 13(3): 348-361 (2019) - [c20]Guna Prasaad, G. Ramalingam, Kaushik Rajan:
Scaling Ordered Stream Processing on Shared-Memory Multicores. BIRTE 2019: 6:1-6:10 - [c19]Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia:
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. FAST 2019: 235-248 - 2018
- [i1]Guna Prasaad, G. Ramalingam, Kaushik Rajan:
Scaling Ordered Stream Processing on Shared-Memory Multicores. CoRR abs/1803.11328 (2018) - 2017
- [c18]Matthias Schlaipfer, Kaushik Rajan, Akash Lal, Malavika Samak:
Optimizing Big-Data Queries Using Program Synthesis. SOSP 2017: 631-646 - 2016
- [c17]Kaushik Rajan, Dharmesh Kakadia, Carlo Curino, Subru Krishnan:
PerfOrator: eloquent performance models for Resource Optimization. SoCC 2016: 415-427 - 2013
- [c16]Sagar Chordia, Sriram K. Rajamani, Kaushik Rajan, Ganesan Ramalingam, Kapil Vaswani:
Asynchronous Resilient Linearizability. DISC 2013: 164-178 - 2012
- [c15]R. Manikantan, Kaushik Rajan, R. Govindarajan:
Probabilistic Shared Cache Management (PriSM). ISCA 2012: 428-439 - [c14]Jose M. Faleiro, Sriram K. Rajamani, Kaushik Rajan, G. Ramalingam, Kapil Vaswani:
CScale - A Programming Model for Scalable and Reliable Distributed Applications. Monterey Workshop 2012: 148-156 - [c13]Jose M. Faleiro, Sriram K. Rajamani, Kaushik Rajan, G. Ramalingam, Kapil Vaswani:
Generalized lattice agreement. PODC 2012: 125-134 - 2011
- [c12]Hesam Samimi, Kaushik Rajan:
Specification-based sketching with Sketch. FTfJP@ECOOP 2011: 3:1-3:7 - [c11]R. Manikantan, R. Govindarajan, Kaushik Rajan:
Extended histories: improving regularity and performance in correlation prefetchers. HiPEAC 2011: 67-76 - [c10]R. Manikantan, Kaushik Rajan, R. Govindarajan:
NUcache: An efficient multicore cache organization based on Next-Use distance. HPCA 2011: 243-253 - [c9]Abhishek Udupa, Kaushik Rajan, William Thies:
ALTER: exploiting breakable dependences for parallelization. PLDI 2011: 480-491 - 2010
- [c8]R. Manikantan, Kaushik Rajan, R. Govindarajan:
NUcache: a multicore cache organization based on next-use distance. PACT 2010: 569-570 - [c7]Kaushik Rajan, Sriram K. Rajamani, Shashank Yaduvanshi:
GUESSTIMATE: a programming model for collaborative distributed systems. PLDI 2010: 210-220 - [c6]Sandya Mannarswamy, Dhruva R. Chakrabarti, Kaushik Rajan, Sujoy Saraswati:
Compiler aided selective lock assignment for improving the performance of software transactional memory. PPoPP 2010: 37-46
2000 – 2009
- 2009
- [j1]Kaushik Rajan, Ramaswamy Govindarajan:
A Novel Cache Architecture and Placement Framework for Packet Forwarding Engines. IEEE Trans. Computers 58(8): 1009-1025 (2009) - [c5]Rupesh Nasre, Kaushik Rajan, Ramaswamy Govindarajan, Uday P. Khedker:
Scalable Context-Sensitive Points-to Analysis Using Multi-dimensional Bloom Filters. APLAS 2009: 47-62 - 2007
- [c4]Kaushik Rajan, Ramaswamy Govindarajan, Bharadwaj Amrutur:
Dynamic Cache Placement with Two-level Mapping to Reduce Conflict Misses. PACT 2007: 422 - [c3]Kaushik Rajan, Ramaswamy Govindarajan:
Emulating Optimal Replacement with a Shepherd Cache. MICRO 2007: 445-454 - 2006
- [c2]Kaushik Rajan, Ramaswamy Govindarajan:
Two-level mapping based cache index selection for packet forwarding engines. PACT 2006: 212-221 - 2005
- [c1]Kaushik Rajan, Ramaswamy Govindarajan:
A heterogeneously segmented cache architecture for a packet forwarding engine. ICS 2005: 71-80
Coauthor Index
aka: Ramaswamy Govindarajan
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