Trishul Chilimbi
Trishul Chilimbi
Sr. Principal Scientist, Amazon
Verified email at
Cited by
Cited by
Project adam: Building an efficient and scalable deep learning training system
T Chilimbi, Y Suzue, J Apacible, K Kalyanaraman
11th USENIX symposium on operating systems design and implementation (OSDI …, 2014
Green: A framework for supporting energy-conscious programming using controlled approximation
W Baek, TM Chilimbi
Proceedings of the 31st ACM SIGPLAN Conference on Programming Language …, 2010
Cache-conscious structure layout
TM Chilimbi, MD Hill, JR Larus
Proceedings of the ACM SIGPLAN 1999 conference on Programming language …, 1999
Speed: precise and efficient static estimation of program computational complexity
S Gulwani, KK Mehra, T Chilimbi
ACM Sigplan Notices 44 (1), 127-139, 2009
Cache-conscious structure definition
TM Chilimbi, B Davidson, JR Larus
Proceedings of the ACM SIGPLAN 1999 conference on Programming language …, 1999
Holmes: Effective statistical debugging via efficient path profiling
TM Chilimbi, B Liblit, K Mehra, AV Nori, K Vaswani
2009 IEEE 31st International Conference on Software Engineering, 34-44, 2009
Low-overhead memory leak detection using adaptive statistical profiling
M Hauswirth, TM Chilimbi
Proceedings of the 11th international conference on Architectural support …, 2004
Dynamic hot data stream prefetching for general-purpose programs
TM Chilimbi, M Hirzel
Proceedings of the ACM SIGPLAN 2002 Conference on Programming language …, 2002
Web search using mobile cores: quantifying and mitigating the price of efficiency
V Janapa Reddi, BC Lee, T Chilimbi, K Vaid
ACM SIGARCH Computer Architecture News 38 (3), 314-325, 2010
Vision-language pre-training with triple contrastive learning
J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Using generational garbage collection to implement cache-conscious data placement
TM Chilimbi, JR Larus
ACM SIGPLAN Notices 34 (3), 37-48, 1998
Deep Learning Training System
TA Chilimbi, Y Suzue, JR Apacible, K Kalyanaraman
US Patent App. 14/492,270, 2015
Efficient representations and abstractions for quantifying and exploiting data reference locality
TM Chilimbi
ACM SIGPLAN Notices 36 (5), 191-202, 2001
Inferring locks for atomic sections
S Cherem, T Chilimbi, S Gulwani
ACM SIGPLAN Notices 43 (6), 304-315, 2008
Bursty tracing: A framework for low-overhead temporal profiling
M Hirzel, T Chilimbi
4th ACM workshop on feedback-directed and dynamic optimization (FDDO-4), 117-126, 2001
An efficient profile-analysis framework for data-layout optimizations
S Rubin, R Bodik, T Chilimbi
ACM SIGPLAN Notices 37 (1), 140-153, 2002
Data structure partitioning with garbage collection to optimize cache utilization
TM Chilimbi, JR Larus
US Patent 6,321,240, 2001
Making pointer-based data structures cache conscious
TM Chilimbi, MD Hill, JR Larus
Computer 33 (12), 67-74, 2000
Efficient forward ranking in a search engine
KM Risvik, M Hopcroft, JG Bennett, K Kalyanaraman, T Chilimbi, ...
US Patent 8,713,024, 2014
Performance modeling and scalability optimization of distributed deep learning systems
F Yan, O Ruwase, Y He, T Chilimbi
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
The system can't perform the operation now. Try again later.
Articles 1–20