‘Differential Analysis for System Provenance’ accepted to PhD Symposium at 40th IEEE International Conference on Data Engineering (ICDE). Congratulations Yuta Nakamura!
‘Efficiently Reducing Storage Footprint in Reproducible Containers via I/O Specialization’ accepted to 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid). Congratulations Aniket Modi, Rohan Tikmany and Moaz Reyad!
‘Kondo: Efficient Provenance-driven Data Debloating’ accepted to 40th IEEE International Conference on Data Engineering (ICDE). Congratulations Aniket Modi and Rohan Tikmany!
‘Reproducible eScience: The Data Containerization Challenge’ in Future of eScience track at IEEE eScience’23.
‘Efficient Differencing of System-level Provenance Graphs’ accepted to ACM International Conference of Knowledge Management (CIKM). Congratulations Yuta Nakamura!
The First ACM Conference on Reproducibility and Replicability (ACM-REP) was a hugh success! See a summary here.
‘Towards Shareable and Reproducible Cloud Computing Experiments’ accepted to IEEE CloudSummit! Our vision of how to reproduce cloud-based experiments.
DICE Lab presents several posters and a talk on ‘Reproducible Notebook Containers’ at 10th Greater Chicago Area Systems Research Workshop (GCASR).
‘Querying Container Provenance’ accepted to ACM Theory and Practice of Provenance at ProvenanceWeek. Congratulations Aniket Modi and Moaz Reyad!
Our paper ‘IOSPReD: I/O Specialized Packaging of Reduced Datasets and Data-Intensive Applications for Efficient Reproducibility’ accepted to IEEE Access.
Yuta Nakamura presents ‘Provenance-based Workflow Diagnostics Using Program Specification’ at 29th IEEE International Conference on High Performance Computing, Data, and Analytics.
The first ACM Conference on Reproducibility and Replicability. Please consider contributing!
COV882: Resource Virtualization With Containers well-received at IIT, Delhi. Thanks to IIT, Delhi students and a wonderful experience!
‘Reproducible Notebook Containers using Application Virtualization’ wins nominated as the Best Student Paper at eScience’22! Congrats Raza Ahmad and Nithin Manne
‘Provenance-based Workflow Diagnostics Using Program Specification’ accepted to 29th IEEE International Conference on High Performance Computing, Data, and Analytics. Congrats Yuta Nakamura!
Nithin presents ‘CHEX: Multiversion Replay with Ordered Checkpoints’ at VLDB’22.
‘Reproducible Notebook Containers using Application Virtualization’ nominated as the Best Student Paper at eScience’22!
‘Reproducible Notebook Containers using Application Virtualization’ accepted to eScience’22. Congrats Raza and Nithin.
DICE lab is funded by the NASA AIST program for advancing reproducible containers to collaborative analytics!! Elated to extend Sciunit to NASA workflows!!
‘Expanding the Scope of Artifact Evaluation at HPC Conferences: Experience of SC21’ accepted to PRECS workshop at HPDC. Thanks to Anjo Vahldiek-Oberwagner for collaborating on this.
Tanu Malik presents Reproducibility and Transparency Practices in HPC at 2022 SIAM Conference on Parallel Processing for Scientific Computing.
‘CHEX: Multiversion Replay with Ordered Checkpoints’ accepted to VLDB. Congrats Nithin and Shilvi.
Dai Hai Ton That presents ‘Learned Distribution Index for Column Stores’ at IEEE, Big Data, 2021.
Tanu Malik is organizing Theory and Practice of Provenance. Please consider submitting.
Tanu Malik participates in the SC21 Panel on computational reproducibility. Check out ‘Reproducibility in HPC:’ Passing Fad or a Work in Progress?
Project on Multiversion Execution launched. Nithin and Shilvi demonstrate it to the scientists.
Tanu Malik and Anjo Vahldiek-Oberwagner successfully complete SC21 Reproducibility Initiative Artifact Description and Artifact Evaluation. Our report is here. Artifacts are published here and here.
The survey paper on ‘Reproducibility Practice in High-Performance Computing: Community Survey Results’ in collaboration with Beth Plale and Line Pouchard is published!
Several mentions of DICE group members at ProvenanceWeek’21’:’
Two new interns Shilvi Satpati and Shravan RaviShankar join DICE Lab!
Dai Hai Ton That has a short paper at ACM Conference on Scientific and Statistical Databases(SSDBM), 2021. The paper is ‘On Lowering Merge Costs of an LSM Tree.’
Nithin Manne leaves to join a job at Argonne National Lab. Congrats Nithin!
Yuta Nakamura presents Content-defined Merkel Trees at 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020. Slides are here.
Our paper on Content-defined Merkel Trees is accepted at 27th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020. Congrats, Yuta on his first paper!
James Wagner, a PhD student at DePaul, advised by our collaborator, Alex Rasin and co-advised by Tanu Malik successfully defends his PhD thesis!. We wish Jay a successful career at his new position as Assistant Professor, University of New Orleans. Jay also publishes two short papers’:’
Several accolades for DICE members at ProvenanceWeek’20’:’
Raza Ahmad joins the DICE Lab. Welcome, Raza!
Yuta Nakamura joins the lab as its first PhD student. Welcome, Yuta!
Dai Hai Ton That leaves DICE to join as Research Scientist at the University of Alabama, Huntsville!