Sotabase

Career

· Principal Engineering Manager, HPC Workloads And AI Workloads Teams Azure HPC AI, Microsoft2024–
· Principal Software Engineering Lead (Manager) And Language Architect AI Frameworks, Microsoft2021–2024
· ML Solution Architect, Cerebras Systems2020–2021
· HPE Distinguished Technologist And Strategist Technical Lead Of Cray AI Lab, Cray Inc. (acquired by Hewlett Packard Enterprise in 2019)2020–2020
· Principal Software, Allen Institute

Publications (30)

CosmoFlow: Using Deep Learning to Learn the Universe at Scale
International Conference for High Performance Computing, Networking, Storage and Analysis · 2018
134
cited
AtomCaml: first-class atomicity via rollback
ACM SIGPLAN International Conference on Functional Programming · 2005
111
cited
Monitoring and Debugging the Quality of Results in Approximate Programs
International Conference on Architectural Support for Programming Languages and Operating Systems · 2015
62
cited
2016 Ieee International Conference on Big Data (big Data) Matrix Factorizations at Scale: a Comparison of Scientific Data Analytics in Spark and C+mpi Using Three Case Studies
50
cited
Preventing format-string attacks via automatic and efficient dynamic checking
Conference on Computer and Communications Security · 2005
42
cited
Matrix Factorization at Scale: a Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies
arXiv.org · 2016
39
cited
H 5 Spark : Bridging the I / O Gap between Spark and Scientific Data Formats on HPC Systems
2016
26
cited
MultiStage: A MINMAX Bit Allocation Algorithm for Video Coders
IEEE transactions on circuits and systems for video technology (Print) · 2007
24
cited
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist
Knowledge Discovery and Data Mining · 2018
15
cited
Alchemist: An Apache Spark ⇔ MPI interface
Concurrency and Computation · 2018
15
cited
Global MINMAX interframe bit allocation for embedded video coding
Data Compression Conference, 2004. Proceedings. DCC 2004 · 2004
14
cited
Addressing Dark Silicon Challenges with Disciplined Approximate Computing
2012
12
cited
A Multi-Platform Evaluation of the Randomized CX Low-Rank Matrix Factorization in Spark
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2016
11
cited
Profiling and Autotuning for Energy-Aware Approximate Programming
2012
11
cited
Optimizing Loop-level Parallelism in Cray XMT TM Applications
2009
10
cited
Experiences Running and Optimizing the Berkeley Data Analytics Stack on Cray Platforms
2015
6
cited
Types for describing coordinated data structures
ACM SIGPLAN International Workshop on Types In Languages Design And Implementation · 2005
5
cited
Quantifying Performance of CGE : A Unified Scalable Pattern Mining and Search System
2017
4
cited
Dynamic Analyses of Result Quality in Energy-Aware Approximate Programs
2014
3
cited
Dynamic Analysis of Approximate Program Quality
2014
3
cited
Sotabase