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Peter Andrew Bosler

Staff Page • Computational Science. Biography Dr. Peter Bosler researches interdisciplinary applied mathematics and scientific computation for coupled multiphysics/multiscale problems. His projects involve close coupling between numerical methods development, data collection and application science, and high performance computing. Recent projects have been aimed at applications in climate modeling and plasma physics. His technical...

PhD Thesis Committee

Award, February 11, 2016 – April 19, 2018 • Society/professional leadership, Boston University.

Poblano Toolbox

Software • Poblano is a Matlab toolbox of large-scale algorithms for unconstrained nonlinear optimization problems. The algorithms in Poblano require only first-order derivative information (e.g., gradients for scalar-valued objective functions), and therefore can scale to very large problems. The driving application for Poblano development has been tensor decompositions in data analysis applications...

Poster Committee Member

Award, April 24, 2017 – June 30, 2017 • Society/professional leadership, The 26th International Symposium on High Performance Distributed Computing (HPDC).

Power API

Project • Achieving practical exascale supercomputing will require massive increases in energy efficiency. The bulk of this improvement will likely be derived from hardware advances such as improved semiconductor device technologies and tighter integration, hopefully resulting in more energy efficient computer architectures. Still, software will have an important role to play. With...

Power API and LAMMPS Win R&D 100 Awards

News Article, November 1, 2018 • Two CCR technologies have won 2018 R&D100 Awards. Each year, R&D Magazine names the 100 most technologically significant products and advancements, recognizing the winners and their organizations. Winners are selected from submissions from universities, corporations, and government labs throughout the world. This year’s winners include the Power API and LAMMPS. The Power API...

Primary Program Committee

Award, October 3, 2018 – May 24, 2019 • Society/professional leadership, IPDPS.

PRISMS: PRedictive Integrated Structural Materials Science

Award, April 1, 2013 – October 1, 2017 • Advisory board, U Michigan. Invited to be on the External Advisory Board for this DOE-BES Software Innovation Center

Program Committee

Award, December 1, 2008 – August 13, 2009 • Society/professional leadership, ACM Symposium on Parallelism in Algorithms and Architectures.

Projects

Page • The CCR enterprise is closely tied to the laboratories' broader set of missions and strategies. We share responsibility within Sandia as stewards of important capabilities for the nation in high-strain-rate physics, scientific visualization, optimization, uncertainty quantification, scalable solvers, inverse methods, and computational materials. We also leverage our core technologies to...

Prove-It

Software • Prove-It is a tool for proving and organizing general mathematical theorems using Python. Prove-It uses a flexible framework and a clear, concise presentation that appear like formulas one would present to colleagues on a chalkboard. Prove-It can avoid paradoxes by simply disallowing cycles in operator-operand relationships; this ensures that consistent types...

Public Good Innovator Award

Award, June 1, 2016 • Internal - other internal recognition, Sandia National Laboratories.

Publications

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PyApprox

Software • PyApprox provides flexible and efficient tools for credible data-informed decision making. PyApprox implements methods addressing various issues surrounding high-dimensional parameter spaces and limited evaluations of expensive simulation models with the goal of facilitating simulation-aided knowledge discovery, prediction and design. Methods are available for: low-rank tensor-decomposition; Gaussian processes; polynomial chaos expansions;...

PyNucleus

Software • PyNucleus is a finite element code that specifically targets nonlocal operators of the form $\int_{\mathbb{R}^d} [u(x)-u(y)] \gamma(x, y) dy $ for nonlocal kernels $\gamma$ with finite or infinite horizon and of integrable or fractional type. Specific examples of such operators include the integral and regional fractional Laplacians, their truncated and...

Pyomo

Software • Pyomo is a Python-based open-source software package that supports a diverse set of capabilities for formulating, solving, and analyzing optimization models. A core capability of Pyomo is modeling structured optimization applications. The Pyomo software package can be used to define general symbolic problems, create specific problem instances, and solve these...

pyttb: Python Tensor Toolbox

Software • The Python Tensor Toolbox (pyttb) is a refactor of the Tensor Toolbox for MATLAB in Python. This package contains data classes and methods for manipulating dense, sparse, and structured tensors, along with algorithms for computing low-rank tensor decompositions. Tensors (also known as multidimensional arrays or N-way arrays) are used in a variety...

QSCOUT / Jaqal at the Frontier of Quantum Computing

News Article, May 1, 2021 • DOE/ASCR is investing over 5 years in Sandia to build and host the Quantum Scientific Computing Open User Testbed (QSCOUT): a quantum testbed based on trapped ions that is available to the research community (led by Susan Clark, 5225). As an open platform, it will not only provide full specifications...

Qthreads

Software • The Qthreads API is a tool that helps developers easily manage many threads in their programs. It allows them to break their programs into smaller tasks and lets the system handle the scheduling of these tasks automatically. One of its features is the ability to mark each piece of memory...

Quantum Computer Science

Department • The Quantum Computer Science Department pursues foundational research and development to enable creation of quantum information processors (QIPs) that will provide exponential speedups for selected computational problems. We are a team of computer- and computational-physicists whose expertise and pursuits include: computational modeling of physical qubits; theory and design of fault-tolerant...