| 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 | 986 | 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 | 650 | 2010 |
| Cache-conscious structure layout TM Chilimbi, MD Hill, JR Larus Proceedings of the ACM SIGPLAN 1999 conference on Programming language …, 1999 | 499 | 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 | 416 | 2009 |
| Cache-conscious structure definition TM Chilimbi, B Davidson, JR Larus Proceedings of the ACM SIGPLAN 1999 conference on Programming language …, 1999 | 360 | 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 | 353 | 2009 |
| Low-overhead memory leak detection using adaptive statistical profiling M Hauswirth, TM Chilimbi Proceedings of the 11th international conference on Architectural support …, 2004 | 314 | 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 | 290 | 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 | 258 | 2010 |
| Using generational garbage collection to implement cache-conscious data placement TM Chilimbi, JR Larus ACM SIGPLAN Notices 34 (3), 37-48, 1998 | 219 | 1998 |
| 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 | 207 | 2022 |
| Deep Learning Training System TA Chilimbi, Y Suzue, JR Apacible, K Kalyanaraman US Patent App. 14/492,270, 2015 | 201 | 2015 |
| Efficient representations and abstractions for quantifying and exploiting data reference locality TM Chilimbi ACM SIGPLAN Notices 36 (5), 191-202, 2001 | 192 | 2001 |
| Inferring locks for atomic sections S Cherem, T Chilimbi, S Gulwani ACM SIGPLAN Notices 43 (6), 304-315, 2008 | 181 | 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 | 170 | 2001 |
| An efficient profile-analysis framework for data-layout optimizations S Rubin, R Bodik, T Chilimbi ACM SIGPLAN Notices 37 (1), 140-153, 2002 | 167 | 2002 |
| Data structure partitioning with garbage collection to optimize cache utilization TM Chilimbi, JR Larus US Patent 6,321,240, 2001 | 145 | 2001 |
| Making pointer-based data structures cache conscious TM Chilimbi, MD Hill, JR Larus Computer 33 (12), 67-74, 2000 | 133 | 2000 |
| Efficient forward ranking in a search engine KM Risvik, M Hopcroft, JG Bennett, K Kalyanaraman, T Chilimbi, ... US Patent 8,713,024, 2014 | 114 | 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 | 108 | 2015 |
