SRP 2021 Technical Topics

Are you curious? Yearn for new knowledge? Interested in seeing where your scientific interests can take you? Looking to find new collaborators and fascinating projects to work on? 

Sustainable Research Pathways (SRP) was designed to help you expand your research prowess and provide opportunities for your students. We strongly encourage you to apply and to include students from underrepresented backgrounds such as women, African Americans, Hispanics, Native Americans, people with disabilities, and first-generation scholars.

Wondering if SRP is right for you?  Ask yourself these questions:


Machine Learning

  • Do you want to understand and optimize the performance of deep neural networks?
  • Want to learn how to design molecules using machine learning?
  • Would you like to combine machine learning and randomized sketching to choose efficient algorithms for computing eigenpairs of large sparce matrices? 
  • Are you intrigued by images and curious about how to efficiently reconstruct images using machine learning?
  • Ever wondered how to build reliable networks for edge computing, federated learning or general collection of data for machine learning applications?

Computer Architectures & Future Computing Platforms

  • Are you a hardware or accelerator aficionado?  Interested in developing hardware architectures for scalable graph analytic algorithms?
  • Are you an experimental physicist or EE device guru?  Excited to build the next generation of quantum information systems?
  • Do you love analyzing systems data?  Want to work on projects related to designing the next generation high-performance computing systems?
  • Interested in developing and optimizing computational chemistry codes for GPU, TPU, and other next generation hardware?

Networking/Cybersecurity

  • Do high-performance computing networks and parallel computing excite you?  Want to work on a team designing programming models using GASNet as a back-end or UPC++ and get experience running on world-class supercomputers?
  • Ever wondered how to build reliable networks for edge computing, federated learning or general collection of data for machine learning applications?
  • Is cybersecurity for high performance computing your thing?  Interested in developing software and experimenting with security and privacy technologies critical to facilitate data collections and sharing?

Software Engineering/Programming Models

  • Are you interested in using state of the art programming models to represent complex topography and fine-scale physics needed to predict regional impacts of global climate change?
  • Interested in automatic tuning and developing algorithms in GPTune Gaussian Process Bayesian optimization framework and running experiments on large scale application codes?
  • Does high-performance computing networks and parallel computing excite you?  Want to work on a team designing programming models using GASNet as a back-end or UPC++ and get experience running on world-class supercomputers?

Quantum Computing/Information

  • Ever wonder what’s all the fuss about quantum computing and quantum information systems?  Are you interested in developing software, programming models, compilers validation and debugging tools for quantum systems?
  • Do these things intrigue you:  quantum networking, modeling devices that can transcode quantum entangled states from the electrical to optical domains?
  • Are you an experimental physicist or EE device guru?  Interested in building the next generation of quantum information systems?

Chemistry/Materials/Biology/Climate Change/Cosmology

  • Want to learn how to design molecules using machine learning?
  • Interested in developing and optimizing computational chemistry codes for GPU, TPU, and other next generation hardware?
  • Are you intrigued by complex scientific problems such as carbon capture, solar harvesting, energy storage, thermoelectric and thermocaloric materials, or drug design?
  • Does the tree of life and how species are related to you fascinate you?  Interested in applying deep learning to understand the origins of species?
  • Do grand challenges in understanding brain function, the dynamical systems models of populations, treatment of neurological disorders through targeted pharmacological interventions excite you?  Interested in working on the governing equations to describe these complex systems?
  • Does the rising sea level concern you?  Would you like to improve numerical models, improve the physical representations, or work on simulation-based projects to understand specific climate scenarios related to the Greenland and Antarctic ice sheets?
  • Is your head in the stars?  Have you longed to work with the Sju Refsdal method to measure time delays from gravitationally sensed supernovae? Or does the discovery of supernova excite you?
  • Curious about how to model things big and small, fast and slow?  Run simulations of biological cells, nanoscale membranes, composite materials, hurricanes and so much more on supercomputers

Big Data/Data Analysis & Processing

  • Does large scale data analysis excite you?  Interested in exploring Transformer-based architectures to analyze scientific data?
  • Are you intrigued by images and curious about how to efficiently reconstruct images using machine learning?
  • Do you love analyzing systems data?  Want to work on projects related to designing the next generation high-performance computing systems?
  • Do you have ideas for how to support faster read and write operations for disk-based systems?  Want to develop tools that effectively utilize faster read write capabilities?

Linear Algebra

  • Would you like to combine machine learning and randomized sketching to choose efficient algorithms for computing eigenpairs of large sparse matrices? 

If you find any of these questions intriguing, have other related ideas, or you have any of the skills listed below, then you should apply for SRP! 

Want more details on potential projects?  Review the Staff Projects Booklet!

Time is running out, apply to SRP today!

Apply Now: https://ssl.linklings.net/conferences/SHInstituteSRPF/

Learn more: https://shinstitute.org/srp-2021/

Relevant skills, backgrounds or interests

AcceleratorsGraph algorithmsPerformance modeling and analysis
AI for computational scienceHardware architecturesPGAS model
Applied mathematicsHigh-performance computingPhysics
Atmospheric scienceHyper parameter optimization (e.g., RayTune)Programming and data representations
Basic astronomyImage processingPython
C++ programmingIndexing techniquesPytorch and HPC
CalculusInformation theoryQuantum computing
ChemistryMachine learningQuantum information science
Climate scienceMaterials codesQuantum networking
Computational chemistryMaterials scienceRandomized algorithms
Computer engineeringMemory systemsRust programming language
Computer scienceMPI programmingScientific data analysis
CUDAnetworkingSecurity and performance
Curiosity to discover new metrics and insights to generate next generation HPC systemsNumerical linear algebraSoftware development
Data analysisOpenACCStatistical mechanics
Data managementOpenMPStatistical models
Deep learningOperating system kernel elementsStatistics
Device modelingOperating system kernels and driversTCP protocols
Dimensionality reductionOpticsTime-series analysis
Distributed computingOptimizationTurbulent flow
electrical engineeringParallel features of modern FortranUNIX tools and computer systems
Fluid dynamicsParallel simulationsUPC++
GlaciologyParallel/distributed algorithm design and implementationWriting low-level systems software

The deadline to apply is Friday, September 24, 2021.