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2020 – today
- 2024
[j8]Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, Milind Kulkarni:
Optimizing Layout of Recursive Datatypes with Marmoset (Artifact). Dagstuhl Artifacts Ser. 10(2): 21:1-21:10 (2024)- [c4]Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, Milind Kulkarni:
Optimizing Layout of Recursive Datatypes with Marmoset: Or, Algorithms {+} Data Layouts {=} Efficient Programs. ECOOP 2024: 38:1-38:28 - [c3]Chaitanya S. Koparkar
, Vidush Singhal, Aditya Gupta, Mike Rainey, Michael Vollmer, Artem Pelenitsyn, Sam Tobin-Hochstadt, Milind Kulkarni, Ryan R. Newton:
Garbage Collection for Mostly Serialized Heaps. ISMM 2024: 1-14 - [i2]Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, Milind Kulkarni:
Optimizing Layout of Recursive Datatypes with Marmoset. CoRR abs/2405.17590 (2024) - 2023
- [j7]Chaitanya Koparkar:
Visualizing Mathematics Using Penrose. XRDS 29(4): 62-63 (2023) - [j6]Chaitanya Koparkar:
Game Development Using TIC-80. XRDS 30(1): 76-77 (2023) - [j5]Chaitanya Koparkar:
A Primer on Property-Based Testing. XRDS 30(2): 40-41 (2023) - 2022
- [j4]Chaitanya Koparkar:
A primer on pointer tagging. XRDS 29(1): 66-68 (2022) - [j3]Chaitanya Koparkar:
Efficient Data Representation Using FlatBuffers. XRDS 29(2): 50-51 (2022) - 2021
- [j2]Chaitanya Koparkar:
Making GHC whole again or, how to perform whole-program analysis within GHC. XRDS 28(2): 80-81 (2021) - [j1]Chaitanya Koparkar, Mike Rainey, Michael Vollmer, Milind Kulkarni, Ryan R. Newton:
Efficient tree-traversals: reconciling parallelism and dense data representations. Proc. ACM Program. Lang. 5(ICFP): 1-29 (2021) - [i1]Chaitanya Koparkar, Mike Rainey, Michael Vollmer, Milind Kulkarni, Ryan R. Newton:
Efficient Tree-Traversals: Reconciling Parallelism and Dense Data Representations. CoRR abs/2107.00522 (2021)
2010 – 2019
- 2019
- [c2]Michael Vollmer, Chaitanya Koparkar, Mike Rainey, Laith Sakka, Milind Kulkarni, Ryan R. Newton:
LoCal: a language for programs operating on serialized data. PLDI 2019: 48-62 - 2017
- [c1]Michael Vollmer, Sarah Spall, Buddhika Chamith, Laith Sakka, Chaitanya Koparkar, Milind Kulkarni, Sam Tobin-Hochstadt, Ryan Newton:
Compiling Tree Transforms to Operate on Packed Representations. ECOOP 2017: 26:1-26:29
Coauthor Index
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