Author of the publication

Diagnosing Performance Variations in HPC Applications Using Machine Learning.

, , , , , , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 355-373. Springer, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Tangram: Colocating HPC Applications with Oversubscription., , , and . HPEC, page 1-7. IEEE, (2018)Taxonomist: Application Detection Through Rich Monitoring Data., , , , , , and . Euro-Par, volume 11014 of Lecture Notes in Computer Science, page 92-105. Springer, (2018)An automated, cross-layer instrumentation framework for diagnosing performance problems in distributed applications., , , , , , and . SoCC, page 165-170. ACM, (2019)Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems., , , , , , , , and . ISC, volume 12728 of Lecture Notes in Computer Science, page 195-214. Springer, (2021)Online Diagnosis of Performance Variation in HPC Systems Using Machine Learning., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 30 (4): 883-896 (2019)VAIF: Variance-driven Automated Instrumentation Framework., , , , , , , and . ACM SIGOPS Oper. Syst. Rev., 56 (1): 42-50 (2022)Praxi: Cloud Software Discovery That Learns From Practice., , , , , , , and . IEEE Trans. Cloud Comput., 10 (2): 872-884 (2022)HPAS: An HPC Performance Anomaly Suite for Reproducing Performance Variations., , , , , , and . ICPP, page 40:1-40:10. ACM, (2019)Counterfactual Explanations for Machine Learning on Multivariate Time Series Data., , , and . CoRR, (2020)Diagnosing Performance Variations in HPC Applications Using Machine Learning., , , , , , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 355-373. Springer, (2017)