Michael Thomadakis Email & Phone Number
@chevron.com
8 phones found area 832, 713, 979, and 409
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Who is Michael Thomadakis? Overview
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Michael Thomadakis is listed as Innovation and HPC R and D and Emerging Technologies at Chevron, a with 51105 employees, based in Greater Houston, United States. AeroLeads shows a work email signal at chevron.com, phone signal with area code 832, 713, 979, 409, and a matched LinkedIn profile for Michael Thomadakis.
Michael Thomadakis previously worked as Innovation and HPC R&D / Emerging Technologies at Chevron and HPC R&D, Application Performance Optimization and Engineering at Mellanox Technologies. Michael Thomadakis holds Doctor Of Philosophy (Ph.D.), Computer Science from Texas A&M University.
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About Michael Thomadakis
Leading High-Performance Computing and parallel application architect with 21 years of solid experience researching, architecting, engineering, optimizing and delivering cutting-edge and next-generation parallel systems and computational environments in world-class R&D and HPC centers.+ Innovation and HPC R&D - Investigation and architecture of next-gen HPC s/w developer and optimization environments (HPC-Capability Stacks) - Development of HPC application optimization techniques for cutting-edge AMD and Intel shared-memory platforms on Azure and on-prem - Next-gen h/w evaluation by progressive benchmarking - Next-gen MPI stack evaluation on HPC fabrics - High-level computation offloading frameworks+ Leads engineering and performance analysis of next-gen sophisticated H/W technologies into coherent H/W and S/W ecosystems that significantly increase HPC capabilities and speedup complex computational workflows in HPC clusters, including- HPC Fabric stacks : InfiniBand, Intel OmniPath, HPS- Co-processor HPC Stacks : Intel KNL, KNC - Accelerator HPC Stacks : NVidia GPU Tesla HPC accelerator stacks on x86_64 and Power64 platforms+ Parallel application engineering, performance profiling, optimization, data and task mapping based on measured abilities of underlying H/W+ S/W development, profiling and tuning infrastructure for complex parallel workflows+ MPI stacks, optimized parallel numerical and scientific libraries+ HPC system architecture design, engineering, performance evaluation and tuning+ System level Roof-Line and performance analysis and modeling+ Enablement of complex HPC applications from a wide spectrum engineering and scientific disciplines.+ 3 + 1/2 years faculty teaching in the Computer Science department of a major US engineering university.+ PhD research and innovations on Hard Real-Time systems design, Scheduling, Operating Systems for multi-threaded, mixed-computation environments. Parallel computation; Design and analysis of HPC architectures and fabrics. Parallel Linear Programming Optimization algorithms.
Listed skills include High Performance Computing, Algorithms, Distributed Systems, Parallel Computing, and 38 others.
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Michael Thomadakis work experience
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Innovation And Hpc R&D / Emerging Technologies
CurrentAnalysis of emerging and next-gen HPC technologies as they apply to HPC and AI/DL workloads. Design and engineering of state-of-the-art HPC, AI/ML capability stacks for next-gen developer ecosystem.Innovative platform design for Oil and Gas applications. Performance analysis of HPC platforms. Architecture evaluation and design.Performance analysis and optimization of HPC and DL applications across alternative platforms.Cloud based HPC- Platform Evaluation- Workflow Design and Assesment
Hpc R&D, Application Performance Optimization And Engineering
* Development of performance analysis frameworks on accelerated HPC fabrics+ Analyzes application resource access usage patterns on the communications stack and explores ways to improve both.+ Carries out analysis and optimization of Oil & Gas related workloads, complex material sciences, Molecular-Dynamics and AI/ML applications on clusters.+ Optimizes the performance of HPC apps with alternative communications stacks (HPC_X, IntelMPI, MPT) on next generation HPC fabrics and different h/w platforms.+ Distributed memory, shared memory and accelerated parallel applications+ System-performance driven application optimization.* Performance Analysis of Next-Generation HPC h/w and s/w Communication Stacks+ Assesses the performance of new stack capabilities vs. communications patterns of complex HPC codes in science and engineering domains.+ Identifies new stack features that could improve the performance of applications based on dominant pattern.+ Investigates and tunes system performance at the different levels of the architecture (OMPI, UCX, HCOLL).+ Investigated and improved effectiveness and performance of NASA’s Pleiades dual-rail HPC fabric environment.* Bring-up of Next-Generation HPC h/w and s/w Communication Stacks Assists in the bring-up of next-generation fabrics in cutting-edge HPC clusters.+ Assisted IBM with troubleshooting the fabrics on Oak-Ridge National Lab’s Summit’s (ranked number one in Top500 in June 2018) and attain top performance and acceptance.+ Carried out computational experiments and tuned benchmarking for maximum Top500 performance of CPU and GPU partitions in first public next-generation HDR IB cluster.* HPC Technical Advocate+ Advocates application communications requirements to R&D.+ Advocates fabric system capabilities to application developers. Assists centers (NASA) and customers (HPE, ATOS) with utilizing effectively Mellanox accelerated communication stacks based on their applications.
Research And Development High-Performance Computing Engineering
Research and Development in High Performance Computing, Communications Systems and Parallel Applications- Researches, engineers and optimizes cutting-edge h/w and s/w technologies that substantially increase the computing and communications capabilities in R/D and production HPC systems.- Leads design and development of next generation H/W and S/W High-Performance Computing (HPC) environment integrating cutting-edge technologies, including, - Intel Phi (KNL, KNC) - HPC fabrics (Intel OmniPath, IB) - Nvidia GPUs (K20x, K80, P100) into state-of-the-art HPC clusters. - Engineers and optimizes complete HPC stacks from BIOS, OS, system S/W and application layers. Supports Nvidia GPU-Direct RDMA, programming environments for Intel MICs and HPC MPI communications. - Implementation of communication and computation system and user level S/W stacks for HPC clusters on MOFED and OPA. - Design and optimization of accelerator enabled parallel applications.- Performance analysis of GPU and co-processor enabled clusters and applications.- Performance, stability evaluation and optimization of OmniPath and IB stacks in HPC clusters.- Performance analysis and optimization of shared-memory, message-passing and accelerator enabled hybrid parallel applications.- Quantitative performance tuning for systems and applications based on platform's design and properties.- Performance Engineering of systems and parallel applications.
Senior Lead Supercomputing Systems Engineer, Researcher, High-Performance Research Computing
* Mastering of Cutting Edge S/W and H/W technologies for High-Performance Computing (HPC) Systems and Applications* Performance Evaluation and Tuning of HPC Power5/AIX and Intel64/Linux based HPC clusters - CMP/Multi-Core Systems Evaluation for ccNUMA Effects - Multi-MPI stack performance evaluation (IntelMPI, OpenMPI, Mvapich2) - HPC Platform and GPU Benchmarking - OS and S/W stack tuning - Cache Coherence Protocol Evaluation* HPC Application Performance Evaluation and Tuning - Optimal Intra-Node Placement of Threads and Data - Impact of ccNUMA Effect on Applications - Bottleneck Discovery and Alleviation* Total HPC Systems Design for UNIX and Linux Clusters - IBM Power5+ 1600 Cluster with HPS and iDataPlex Intel64 cluster with QDR infiniband - OS and Networking tuning - Cluster High-Speed Interconnects tuning - High-Speed Storage* Assessment of cutting edge h/w and s/w technologies for HPC systems, including state of the art CISC and RISC micrarchitectures, SMP platforms, H/W accelerators and programming systems; * Instructional Resource Development for architecture-directed performance engineering of HPC applications * Complex Performance and Stability Problem Resolution at System and Application Level* Parallel and Distributed Algorithms* Alternative MPI stack tuning, S/W development stacks, Batch Schedulers* Assists complex HPC application development and tuning
Post-Doctoral Associate And Teaching Faculty -- Computer Science
* Expanded research on Real-Time systems scheduling and design algorithms. - Hard Real-Time scheduling algorithms, optimal guaranteed aperiodic scheduling, formal analysis framework for optimal aperiodic scheduling algorithms - Optimal Soft Real-Time aperiodic scheduling under different scheduling disciplines* Re-developed from scratch and delivered graduate and undergraduate courses in the Computer Science Department. Updated the educational contents to align it with that in top tier Universities. - CPSC321 Computer Architecture, - CPSC612/463 Computer Networking and Distributed Processing - CPSC611/410 Operating Systems Design - CPSC603/310 Relational DBMS Design - CPSC332 Programming Language Design - CPSC206 Structured Programming in C/C++* Mentored Undergraduate and Graduate Students
Graduate Research Assistant
* Devised the first published linear time O(n) algorithm to optimally decide on-line if hard real-time firm aperiodic tasks can be guaranteed within periodic hard real-time FP schedules, n = Num of periodic tasks* Devised a constant O(1) time on-line algorithm minimizing completion time of soft real-time aperiodic tasks co-scheduled with HRT periodic ones* Formulated theoretical framework and analytically derived timing properties and limits of extreme periodic task schedules for Hard-Real Time systems for the analysis of scheduling algorithms.* Devised a parallelization of the Steepest-Edge Simplex Algorithm on massively-parallel supercomputers minimizing communication, and achieving 3 orders of magnitude in speed-up.* Designed and Implemented FFT algorithm on Message-Passing Supercomputer and investigated communication and computation scalability vs problem size.* Designed and Implemented a light-weight distributed thread scheduling system where threads are automatically dispatched to compute nodes with lighter load* Performance evaluation of POSIX threads on SMP platforms and investigation of stability and Real-Time readiness* Designed and Implemented ATMSim a discrete-event, discrete-time simulator for full-scale ATM Broadband ISD Networks with flow control and leaky-bucket algorithms under Bernoulli and Bursty types of traffic or actual traffic traces.* Performance evaluation of Multi-Stage Interconnection networks under Bernoulli and Bursty types of traffic (Discrete Event simulation).* Performance evaluation investigation of three alternative Concurrency-Control algorithms for RDBMS and TPMS with Mixtures of Interactive and Batch workloads (Discrete Event simulation)* Designed and Implemented LPBench, a workbench to evaluate the convergence efficiency of five different Pivot-Selection techniques for the Primal and Dual Simplex Linear Programming algorithm
Teaching Assistant And Graduate Fellow
* Discrete Event simulator to evaluate time allocation alternatives on Token-Ring networks.* Discrete Event simulator for a parking lot (in ADA)* A Stochastic ContextFree Grammar system for the performance evaluation of different transaction patters on TPMS and DBMS systems.* Design Specification of the File System layer of a modern Operating System.
Colleagues at Chevron
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Mic-Quan Kee-Myers
Colleague at ChevronLexington County, South Carolina, United States
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Panin Tingpalpong
Colleague at ChevronRayong, Thailand
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Nwabueze Ikechukwu
Colleague at ChevronNigeria
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Andrew Chaney
Colleague at ChevronHouston, Texas, United States
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Barbara Gonzalez
Colleague at ChevronDenver, Colorado, United States
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Porpon Maidee
Colleague at ChevronBangkok Metropolitan Area, Thailand
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Isikeli Taureka
Colleague at ChevronJakarta, Indonesia
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Jon Moeller, Pe
Colleague at ChevronHouston, Texas, United States
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Lisbelis Santiesteban
Colleague at ChevronMiami, Florida, United States
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Adams Samuel
Colleague at ChevronDubai, United Arab Emirates
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Michael Thomadakis education
Doctor Of Philosophy (Ph.D.), Computer Science
Master'S Degree, Computer Science
Bachelor'S Degree, Computer Information Science
Diploma, Elementary School
Frequently asked questions about Michael Thomadakis
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What company does Michael Thomadakis work for?
Michael Thomadakis works for Chevron.
What is Michael Thomadakis's role at Chevron?
Michael Thomadakis is listed as Innovation and HPC R and D and Emerging Technologies at Chevron.
What is Michael Thomadakis's email address?
AeroLeads has found 2 work email signals at @chevron.com for Michael Thomadakis at Chevron.
What is Michael Thomadakis's phone number?
AeroLeads has found 8 phone signal(s) with area code 832, 713, 979, 409 for Michael Thomadakis at Chevron.
Where is Michael Thomadakis based?
Michael Thomadakis is based in Greater Houston, United States while working with Chevron.
What companies has Michael Thomadakis worked for?
Michael Thomadakis has worked for Chevron, Mellanox Technologies, Shell, Texas A And M University, and American University.
Who are Michael Thomadakis's colleagues at Chevron?
Michael Thomadakis's colleagues at Chevron include Mic-Quan Kee-Myers, Panin Tingpalpong, Nwabueze Ikechukwu, Andrew Chaney, and Barbara Gonzalez.
How can I contact Michael Thomadakis?
You can use AeroLeads to view verified contact signals for Michael Thomadakis at Chevron, including work email, phone, and LinkedIn data when available.
What schools did Michael Thomadakis attend?
Michael Thomadakis holds Doctor Of Philosophy (Ph.D.), Computer Science from Texas A&M University.
What skills is Michael Thomadakis known for?
Michael Thomadakis is listed with skills including High Performance Computing, Algorithms, Distributed Systems, Parallel Computing, Computer Architecture, Computer Science, Mpi, and Simulations.
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