| Z-Inspection®: A Process to Assess Trustworthy AI RV Zicari, J Brodersen, J Brusseau, B Düdder, T Eichhorn, T Ivanov, ... IEEE Transactions on Technology and Society 2 (2), 83-97, 2021 | 175 | 2021 |
| Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen, F Bruneault, ... Frontiers in Human Dynamics 3, 688152, 2021 | 73 | 2021 |
| On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls RV Zicari, J Brusseau, SN Blomberg, HC Christensen, M Coffee, ... Front. Hum. Dyn., 2021 | 68 | 2021 |
| Cache-oblivious wavefront: improving parallelism of recursive dynamic programming algorithms without losing cache-efficiency Y Tang, R You, H Kan, JJ Tithi, P Ganapathi, RA Chowdhury Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015 | 45 | 2015 |
| Alto: Adaptive linearized storage of sparse tensors AE Helal, J Laukemann, F Checconi, JJ Tithi, T Ranadive, F Petrini, ... Proceedings of the 35th ACM International Conference on Supercomputing, 404-416, 2021 | 44 | 2021 |
| Autogen: Automatic discovery of cache-oblivious parallel recursive algorithms for solving dynamic programs R Chowdhury, P Ganapathi, JJ Tithi, C Bachmeier, BC Kuszmaul, ... ACM SIGPLAN Notices 51 (8), 1-12, 2016 | 36 | 2016 |
| Lessons learned from assessing trustworthy AI in practice D Vetter, J Amann, F Bruneault, M Coffee, B Düdder, A Gallucci, ... Digital Society 2 (3), 35, 2023 | 35 | 2023 |
| Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ... IEEE Transactions on Technology and Society 3 (4), 272-289, 2022 | 35 | 2022 |
| PIUMA: programmable integrated unified memory architecture S Aananthakrishnan, NK Ahmed, V Cave, M Cintra, Y Demir, KD Bois, ... arXiv preprint arXiv:2010.06277, 2020 | 35 | 2020 |
| Large language models based automatic synthesis of software specifications S Mandal, A Chethan, V Janfaza, SM Mahmud, TA Anderson, J Turek, ... arXiv preprint arXiv:2304.09181, 2023 | 27 | 2023 |
| Provably efficient scheduling of cache-oblivious wavefront algorithms R Chowdhury, P Ganapathi, Y Tang, JJ Tithi Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and …, 2017 | 27 | 2017 |
| Exploiting spatial architectures for edit distance algorithms JJ Tithi, NC Crago, JS Emer 2014 IEEE International Symposium on Performance Analysis of Systems and …, 2014 | 26 | 2014 |
| Autogen: Automatic discovery of efficient recursive divide-8-conquer algorithms for solving dynamic programming problems R Chowdhury, P Ganapathi, S Tschudi, JJ Tithi, C Bachmeier, ... ACM Transactions on Parallel Computing (TOPC) 4 (1), 1-30, 2017 | 24 | 2017 |
| High-performance energy-efficient recursive dynamic programming with matrix-multiplication-like flexible kernels JJ Tithi, P Ganapathi, A Talati, S Aggarwal, R Chowdhury 2015 IEEE International Parallel and Distributed Processing Symposium, 303-312, 2015 | 23 | 2015 |
| How to assess trustworthy AI in practice RV Zicari, J Amann, F Bruneault, M Coffee, B Düdder, E Hickman, ... arXiv preprint arXiv:2206.09887, 2022 | 22 | 2022 |
| MISIM: an end-to-end neural code similarity system F Ye, S Zhou, A Venkat, R Marucs, N Tatbul, JJ Tithi, P Petersen, ... arXiv preprint arXiv:2006.05265, 2020 | 22 | 2020 |
| Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures A Nguyen, AE Helal, F Checconi, J Laukemann, JJ Tithi, Y Soh, ... arXiv preprint arXiv:2201.12523 26, 1-13, 2022 | 19 | 2022 |
| Methods and apparatus to insert buffers in a dataflow graph KE ChoFleming, JJ Tithi, S Srinivasan, MA Iyer US Patent 10,965,536, 2021 | 16 | 2021 |
| Avoiding locks and atomic instructions in shared-memory parallel BFS using optimistic parallelization JJ Tithi, D Matani, G Menghani, RA Chowdhury 2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013 | 15 | 2013 |
| Prune the unnecessary: Parallel pull-push louvain algorithms with automatic edge pruning JJ Tithi, A Stasiak, S Aananthakrishnan, F Petrini Proceedings of the 49th International Conference on Parallel Processing, 1-11, 2020 | 13 | 2020 |
Fabrizio PetriniIntel Labs, Parallel Computing LabVerified email at intel.com
