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Inside HPC – MUG Keynote Featuring CCR Researcher Ron Brightwell

September 1, 2017 • The HPC news blog insideHPC recently posted a video of a keynote talk at the MVAPICH User Group Meeting given by CCR researcher Ron Brightwell. The keynote, entitled “Challenges and Opportunities for HPC Interconnects and MPI,” examines challenges created directly by hardware diversity as well as indirectly by alternative parallel...
Inside HPC

Three staff in the Non-Conventional Computing Technologies department (1425) recently made high-profile technical communications.

September 1, 2017 • Three staff in the Non-conventional Computing Technologies department (1425) recently made high-profile technical communications: Kenneth Rudinger coauthored a paper published in Physical Review Letters on a robust method for phase estimation for qubits: “Experimental demonstration of cheap and accurate phase estimation.” His co-authors were Shelby Kimmel, Joint Center for Quantum...
FIG. 1: (a) RPE and (b) GST experimental sequences. Each sequence starts with the state p and ends with the two-outcome measurement M. (a) An RPE sequence consists of repeating the gate in question either L orL + 1 times. (b) In GST, a gate sequence Fi is applied to simulate a state preparation potentially different from p. This is followed by [L/|gk|I] applications of a germ—a short gate sequence gk of length |gk|. Finally, a sequence Fj is applied to simulate a measurement potentially different from M.

Copyright approval and open-source release of Implicit SPH (ISPH) software package.

August 1, 2017 • The ISPH package solves large-scale multi-physics mesoscale flow problems using implicit smoothed particle hydrodynamics methods. It relies on an incremental pressure correction scheme (effective for flows with moderately small Reynolds numbers) and differential operator renormalizations to achieve second-order accuracy in both time and space. ISPH, built on LAMMPS and Trilinos,...
Visualization of 3D pore-scale flow in a cylinder packed with 6864 sphere beads using 165 million particles and 7680 CPUs (NERSC Edison, Cray XC30).

Performance Improvements for Open MPI Demonstrated at Scale on Trinity

August 1, 2017 •  Researchers from Sandia and Los Alamos National Laboratory recently collaborated to increase the performance of Open MPI on the Trinity supercomputer. The multi-lab team was able to significantly improve the performance of MPI remote memory access (RMA) operations, especially when RMA operations are used by multi-threaded applications. A key part...
Figure: This graph shows the performance improvement for Open MPI's Remote Memory Access operations using the HPCCG benchmark. The new implementation (OSC/RDMA) significantly outperforms the previous approach (OSC/PT2PT).

Virtual Machine Support for the Cray XC

August 1, 2017 • Researchers at Sandia National Laboratories have demonstrated for the first time the ability to deploy general purpose virtual machines on a Cray XC series supercomputer. Various high-performance computing and data intensive workloads exhibited near native levels of efficiency and scalability. This effort lays the groundwork for supporting coupled simulation and...
This plot shows the performance of the High Performance Conjugate Gradient (HPCG) benchmark using the native operating system (Native) versus an operating system running in a virtual machine (KVM). The labels show percent of native performance, and higher gaps at scale show additional room for improvement in the network stack

CCR Researchers Co-Author Best Paper Nominee at IEEE DFT

August 1, 2017 • CCR system software researchers Kurt Ferreira and Scott Levy are co-authors on the paper entitled “Lifetime Memory Reliability Data From the Field,” which has been nominated for Best Paper at the 2017 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT). The paper analyzes the...
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CRADA Signed with Rigetti Quantum Computing RQC

July 1, 2017 • Quantum computing researchers at Sandia National Laboratories have established a cooperative research agreement (CRADA) with Rigetti Quantum Computing (RQC), a Berkeley, CA based startup company.  Sandia and RQC will collaborate to test and evaluate RQC's 8-qubit quantum information processor.  This collaboration will produce detailed, high-fidelity information about errors and fault...
Under this CRADA, Sandia's open-source pyGSTi software will be deployed to probe the quantum logic behavior of Rigetti Quantum Computing's new 8-qubit quantum processor, generating new ideas for debugging quantum processors.

Dr. J. Brad Aimone selected to participate in the National Academy of Engineering’s 2017 US Frontiers of Engineering Symposium

July 1, 2017 • Dr. J. Brad Aimone has been selected to participate in National Academy of Engineering’s (NAE) 23rd annual U.S. Frontiers of Engineering (USFOE) symposium.  The 83 participants are among the nation’s most innovative young engineers who are performing exceptional engineering research and technical work in a variety of disciplines that will...

5th Annual NICE Workshop

June 1, 2017 • Neural computing researchers at Sandia National Laboratories helped organize and facilitate the 5th Neuro-Inspired Computational Elements (NICE) Workshop at IBM Almaden in San Jose, CA. The meeting was attended by neural computing researchers from numerous universities, computing software and hardware companies, and national laboratories (including LLNL, LANL, and Oak Ridge)....

Kitten OS Demonstrates Near-Native Network Performance on Cray Aries Interconnect

June 1, 2017 •  One of the challenges in designing, developing, and deploying a research operating system (OS) for high- performance computing platforms has been the integration of device drivers for peripheral hardware, such as disk drives and network adapters. Developing and maintaining a device driver, which essentially allows the operating system to make...
These plots show the MPI ping-pong latency (a) and bandwidth (b) achieved by Cray Linux, the Kitten LWK running natively, and Kitten running in a virtual machine for the Cray Aries interconnect. Kitten is able to achieve near-native MPI performance without a custom device driver by employing a multi-kernel strategy that uses the Linux device driver for Aries.

Mini-symposium on ice sheet modeling

June 1, 2017 • At the SIAM CSE conference, a two part mini-symposium on Ice Sheet Modeling was organized by Sandians Luca Bertagna, Mauro Perego (1442) and Irina Tezaur (8759) along with Daniel Martin from LBNL. The mini-symposium focused on theoretical and computational advancements in ice sheet modeling, addressing many of the mathematical and...
Detail of the ice velocity magnitude near the Ryder Glacier. Mesh adapted using Albany+Pumi.

Sandia Releases Tempus Time Integration Library

June 1, 2017 • A new time integration library has been open-source released under the Trilinos project. The Tempus library is being developed under the Exascale Computing Project/Advanced Technology Development and Mitigation (ECP/ATDM) program to support advanced analysis techniques, including Implicit-Explicit (IMEX) time integrators and embedded sensitivity analysis for next-generation code architectures. Tempus currently supports explicit Runge-Kutta...
Tempus time integration of Van der Pol’s strange attractor and limit cycle. All initial conditions reach the limit cycle (green), either from “small” initial values (blue) or “large” initial values (red).

Slycat™ Expands User Community to Army Research Laboratory

June 1, 2017 • Researchers at Sandia National Laboratories just completed an installation of SNL’s open-source ensemble analysis and visualization system, SlycatTM, at the Army Research Laboratory in Aberdeen, Maryland. This is the culmination of a year-long small project with the ARL that also includes a small amount of support funding for the remainder...
Slycat supports a number of analysis types for large ensembles of data including: Canonical Correlation Analysis (CCA) for correlations between sets of variables, sensitivity analysis, and anomaly detection; Time-Series Clustering (shown in figure) that includes shape filtering, discovery of outliers, and mapping output variability to inputs; and Parameter-Space Analysis that enables visual exploration, filtering, multi-objective optimization, and image/video retrieval.

Tenth Space Computing Workshop

June 1, 2017 • The Center for Computing Research (1400) in collaboration with the Predictive Sensing Systems Group (6770) conducted the 10th annual Spacecraft Computing workshop May 30-June 2, 2017. The workshop, held at Sandia and a local hotel, focused on advanced computing for spacecraft, which require technology that functions reliably in the harsh...

Enabling Very High Renewables Penetration on the Electric Power Grid

May 1, 2017 • As part of DOE/ARPA-e’s NODES (Network Optimized Distributed Energy Systems) program, researchers at Sandia National Laboratories - with partners at Arizona State University and Nexant, Inc. - are working to develop advanced optimization algorithms for power grid operations, which directly account for uncertainty associated with forecasts of renewables (e.g., wind...
Probabilistic day-ahead solar power forecasts, for the northern region of the California Independent System Operator (CAISO). A set of scenarios represent the potential errors associated with a “point” forecast produced by a numerical weather prediction (NWP) model, and capture the deviation of the actual production from the forecast.

USACM Thematic Workshop on Uncertainty Quantification and Data-Driven Modeling

May 1, 2017 • The U.S. Association for Computational Mechanics (USACM) Thematic Workshop on Uncertainty Quantification and Data-Driven Modeling was held on March 23-24, 2017, in Austin, TX. The organizers of the technical program were James R. Stewart of Sandia National Laboratories and Krishna Garikipati of University of Michigan. The organization was coordinated through the...

Research from Sandia shows brain stimulation during training boosts performance

April 1, 2017 • https://share-ng.sandia.gov/news/resources/news_releases/brain_boosting/

Climate

March 1, 2017 • [From 2017 Sandia Labs Accomplishment Magazine] As part of the five-year multi-institution DOE/SciDAC project PISCEES, Sandia has developed a land-ice simuluation code that has been integrated into DOE's Accelerated Climate Model for Energy earth system model for use in climate projections.  The Albany/FELIX code enables the calculation of initial conditions...

Demonstration by Sandia National Laboratories helps to improves cyber training

March 1, 2017 • Sandia National Laboratories (Sandia), a partner to Team Orlando, hosted a three-day demonstration of Sandia’s Information Design Assurance Red Team (IDART™) training capability on Jan. 31-Feb. 2. The goal of the demonstration was to determine whether Team Orlando could expand its relationship with Sandia to include IDART training for the...
Dan Torgler (left) welcomes Sandia National Laboratories’ William Atkins (center) and Benjamin Anderson.

Improving Application Resilience to Memory Errors with Lightweight Compression

January 1, 2017 • Researchers at Sandia National Laboratories have developed an application-independent library that can dramatically improve application performance by transparently correcting detected uncorrectable memory errors using lightweight compression mechanisms.   Resilience to memory errors is identified by the Department of Energy (DOE) as a key challenge for next-generation, extreme-scale systems.  Future systems are...
Application speedup over current checkpoint-based approaches using lightweight compression to protect against memory errors for a range of failure rates from 30 minute to 2 hour Mean Time to Interrupt (MTTI).

Standardizing Node Memory Management for HPC

January 1, 2017 • Computer scientists at Sandia National Laboratories are contributing to standardization of memory management interfaces for HPC applications through the OpenMP Language Committee.  The emergence of multiple levels of memory with distinct characteristics (e.g., high bandwidth or persistent storage) is a disruptive technology change presenting both challenges and opportunities for DOE...

Andrew J. Landahl elected a Fellow of APS

January 1, 2017 • Andrew J. Landahl, a distinguished member of the Non-conventional Computing Technology department, was elected a Fellow of the American Physical Society (APS).  He was nominated by the Topical Group on Quantum Information (GQI), which is a segment of APS of which Andrew is a recent past-Chair.  The citation for his...

ASCR Discovery Features CCR Exascale System Software Research

January 1, 2017 • The January 2017 feature article of ASCR Discovery highlights exascale system software research led by the Center for Computing Research. The article “Upscale Computing: National labs lead the push for operating systems that let applications run at exascale,” discusses some of the exascale computing challenges from the operating system and...
ASCR Discovery site

CCR Researchers Co-Author Best Student Paper Nominee at SC’16

January 1, 2017 •  CCR system software researchers Scott Levy, Kurt Ferreira, and Patrick Widener were co-authors on the paper entitled “Understanding Performance Interference in Next-Generation HPC Systems,” which was nominated for Best Student Paper at the 2016 ACM/IEEE International Conference on High-Performance Computing, Networking, Storage, and Analysis (SC’16). The paper presented a new...
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Computer Magazine Highlights CCR Expertise in Energy Efficient HPC

November 1, 2016 •  The October 2016 issue of Computer magazine on Energy Efficient Computing contains three feature articles co-authored by Sandians, including two articles from staff in the Center for Computing Research. The article “Standardizing Power Monitoring and Control at Exascale” co-authored by Ryan Grant (1423), Michael Levenhagen (1423), Stephen Olivier (1423), Kevin...
October 2016 issue of Computer Magazine
Results 51–75 of 125