Luke Wilson, Ph.D. Email & Phone Number

Round Rock, Texas, United States

Austin, Texas Metropolitan Area

Austin, Texas, United States

Austin, Texas Metropolitan Area

Austin, Texas, United States

Austin, Texas, United States

Austin, Texas, United States

Responsible for the ideation and development of future Dell Technologies products and solutions for high performance computing, artificial intelligence, and data analytics.Responsibilities include:* Generating novel concepts for future productization, including creating of overlying architectures and any missing technologies.* Maintaining Dell Technologies strategic advantage by protecting any novel intellectual property (IP).* Determine Level of Effort (LoE) for the development of proposed solutions* Develop business case for proposed solutions, including working with strategists and product managers to determine likely Total Addressable Market (TAM) and Compound Annual Growth Rate (GAGR).* Ensure that both product management (PdM) and solution engineering are fully briefed on proposed solutions in order to guarantee seamless transition from concept to market.Additional Responsibilities:* Chair of the Dell Technologies HPC/AI Patent Committee* Member of the Dell Technologies Technical Leadership Community* Member of the Dell Technologies AI Center of Excellence (CoE)* Mentoring junior engineering staff in order to cultivate technical talent

Austin, Texas, United States

The Omnia Project is an open-source, community-driven project created with the goal of modernizing the deployment and management of high performance clusters for simulation/modeling, AI, and data analytics workloads.

Austin, Texas Metropolitan Area

Austin, Texas Area

Austin, Texas Area

Lead scientist in the HPC & AI Innovation Lab focused on developing neural network-based use cases which highlight the capabilities of deep learning on various market verticals. Regularly interact with customers highlighting Dell EMC capabilities in infrastructure and R&D, and Dell and Dell partner's executives on future direction of products and solutions related to high performance computing and artificial intelligence.Lead engineer on Dell EMC's Ready Solutions for AI Deep Learning w/ Intel, Dell EMC's first container native solution for neural network training, using Docker and Kubernetes to make development of neural network training workflows easier and more efficient for data scientists. Responsible for:* System design and configuration* Processor, memory configuration, and network configuration* Developing use cases used to highlight solution capabilities and benchmark performance* Documenting deployment procedures, architectural specifications, and usage models* Presenting research work in deep learning first tested on the solution* Developing Dell EMC value-add software for improving functionality and administration

Austin, Texas Area

* Oversee training activities for academic and industry partners.* Develop specialized training in HPC, Big Data, Biology/Life Sciences, and Scientific Visualization.* Coordinate university courses at UT Austin in the Dept. of Statistics and Data Sciences.

Research and develop new computational paradigms for more easily and effectively computing on massive-scale (peta-/exa-scale) distributed collectives.Build and maintain high-performance serial and parallel applications and libraries for general use by TACC users.Interact with TACC users on system issues, general questions and code porting and optimization.Interact with TACC's industrial partners as lead Technical Consultant for the Science and Technology Affiliates for Research (STAR) program.

Research and develop new computational paradigms for more easily and effectively computing on massive-scale (peta-/exa-scale) distributed collectives.Build and maintain high-performance serial and parallel applications and libraries for general use by TACC users.Interact with TACC users on system issues, general questions and code porting and optimization.Interact with TACC's industrial partners as lead Technical Consultant for the Science and Technology Affiliates for Research (STAR) program.

Configure and maintain critical cluster software and scheduling systems on TACC production machines.Build and maintain high-performance serial and parallel applications and libraries for general use by TACC users.Lead HPC member on Stampede (2008 - 2010), TACC's high-throughput cluster (~16TFLOPS, decommissioned 10/2010, completed 6.5million jobs in ~3 yrs.).Work on several of the largest academic supercomputers in the world, including Stampede (~10 PFLOPS), Ranger (~504 TFLOPS), Lonestar (~55 TFLOPS), Stampede High-Throughput (~16TFLOPS), and Champion (~700GFLOPS).Interact with TACC users on system issues, general questions and code porting and optimization.Interact with TACC's industrial partners as lead Technical Consultant for the Science and Technology Affiliates for Research (STAR) program.Benchmark applications for HPC system acquisitions as part of the Dell Benchmarking Center agreement.Develop and maintain logging and administration tools for use on TACC HPC systems.Research and develop new methods for massive-scale resource management.Research and develop new computational paradigms for more easily and effectively computing on massive-scale (peta-/exa-scale) distributed collectives.

Austin, Texas Area

Research and develop new methods for resource management (scheduling, data replication, etc.) in distributed, heterogeneous environments (Grid, Internet).Explore methods and algorithms for use in distributed, heterogeneous resource management, including Game Theory and Nature Inspired algorithms (Genetic Algorithms, Artificial Immune Systems, Artificial Ant Colonies).

Operate teaching lab for introductory Computer Science course.Instruct undergraduate students in UNIX/Linux commands/tools, C programming, code compilation and debugging.Grade students knowledge of UNIX/Linux commands/tools and C programming.

Analyze business practices, procedures and policies to create a data schema for company sales, acquisitions and inventory.Develped SQL database using data schema to track sales, acquisition and inventory of products.Developed complex queries for mining sales, acquisition and inventory data from database.Created flexible, dynamic reports to display information mined from queries.Developed Visual Basic for Applications and HTML/ASP user interface for database and report interaction.

Developed parallel genetic algorithms for near-optimal resource management on parallel computers.Developed parallel genetic algorithms for discovery and optimization of robot arm trajectories as part of a NASA grant.

Doctor Of Philosophy (Ph.D.), Computer Science

Dissertation: "The Relentless Execution Model for Task-uncoordinated Parallel Computation in Distributed Memory Environments" Advisor.

Master Of Science (Ms), Computer Science

Project: "Comparison of Various Scheduling Techniques in a Tightly-Coupled Multicomputer Environment" Committee Chair: Michael Scherger

Bachelor Of Science (Bs), Computer Science

Summa Cum Laude, 3.919 GPA. Emphasis in Systems Programming.