| Clearing the clouds: a study of emerging scale-out workloads on modern hardware M Ferdman, A Adileh, O Kocberber, S Volos, M Alisafaee, D Jevdjic, ... Proceedings of the 17th Conference on Architectural Support for Programming …, 2012 | 1350 | 2012 |
| Meet the Walkers: Accelerating Index Traversals for In-Memory Databases O Kocberber, B Grot, J Picorel, B Falsafi, K Lim, P Ranganathan Proceedings of the 46th Annual IEEE/ACM International Symposium on …, 2013 | 280 | 2013 |
| Scale-out processors P Lotfi-Kamran, B Grot, M Ferdman, S Volos, O Kocberber, J Picorel, ... Computer Architecture (ISCA), 2012 39th Annual International Symposium on …, 2012 | 280 | 2012 |
| Asynchronous memory access chaining O Kocberber, B Falsafi, B Grot Proceedings of the VLDB Endowment (PVLDB) 9 (4), 252-263, 2015 | 73 | 2015 |
| Sort vs. Hash Join Revisited for Near-Memory Execution N Mirzadeh, O Kocberber, B Falsafi, B Grot 5th Workshop on Architectures and Systems for Big Data (ASBD), 2015 | 62 | 2015 |
| Quantifying the mismatch between emerging scale-out applications and modern processors M Ferdman, A Adileh, O Kocberber, S Volos, M Alisafaee, D Jevdjic, ... ACM Transactions on Computer Systems (TOCS) 30 (4), 1-24, 2012 | 35 | 2012 |
| A case for specialized processors for scale-out workloads M Ferdman, A Adileh, O Kocberber, S Volos, M Alisafaee, D Jevdjic, ... IEEE Micro 34 (3), 31-42, 2014 | 32 | 2014 |
| Method for generating rulesets using tree-based models for black-box machine learning explainability T Hetherington, Z Zohrevand, O Kocberber, KR Nia, S Idicula, N Agarwal US Patent 11,531,915, 2022 | 27 | 2022 |
| FADE: A Programmable Filtering Accelerator for Instruction-Grain Monitoring S Fytraki, E Vlachos, YO Koçberber, B Falsafi, B Grot Proceedings of the 20th IEEE International Symposium On High Performance …, 2014 | 26 | 2014 |
| Out of band server utilization estimation and server workload characterization for datacenter resource optimization and forecasting O Kocberber, F Schmidt, C Schelp, A Brownsword, N Agarwal US Patent 11,423,327, 2022 | 23 | 2022 |
| Malicious activity detection by cross-trace analysis and deep learning JF Peinador, MF Gomez, GT Zhou, H Hajimirsadeghi, A Brownsword, ... US Patent 11,082,438, 2021 | 23 | 2021 |
| Enabling efficient machine learning model inference using adaptive sampling for autonomous database services F Tauheed, O Kocberber, T Karnagel, N Agarwal US Patent 12,014,286, 2024 | 21 | 2024 |
| Engine for reactive execution of massively concurrent heterogeneous accelerated scripted streaming analyses A Brownsword, T Hetherington, P Chandrashekar, A Singhania, S Wray, ... US Patent 10,768,982, 2020 | 21 | 2020 |
| Datacenter level utilization prediction without operating system involvement P Shinde, F Schmidt, O Kocberber US Patent 11,443,166, 2022 | 19 | 2022 |
| Exploiting narrow values for faster parity generation Y Onur Koçberber, Y Osmanlıoğlu, O Ergin Microelectronics International 26 (3), 22-29, 2009 | 9 | 2009 |
| Method of using a buffer within an indexing accelerator during periods of inactivity O Kocberber, KT Lim, P Ranganathan US Patent 8,984,230, 2015 | 8 | 2015 |
| Reducing parity generation latency through input value aware circuits Y Osmanlioglu, YO Koçberber, O Ergin Proceedings of the 19th ACM Great Lakes symposium on VLSI, 109-112, 2009 | 7 | 2009 |
| INDEXING ACCELERATOR WITH MEMORY-LEVEL PARALLELISM SUPPORT KT Lim, O Kocberber, P Ranganathan US Patent 20,160,070,701, 2016 | 5 | 2016 |
| Dark Silicon Accelerators for Database Indexing O Koçberber, B Falsafi, K Lim, P Ranganathan, S Harizopoulos | 5 | 2012 |
| Datacenter level utilization prediction without operating system involvement P Shinde, F Schmidt, O Kocberber US Patent 11,657,256, 2023 | 3 | 2023 |
Babak FalsafiProfessor of Computer Science, EPFL確認したメール アドレス: epfl.ch