Topic: Hybrid/Heterogeneous

The DOE's Exascale Computing Project compiled a video playlist for Exascale Day on October 18 (10¹⁸).

Though the arrival of the exascale supercomputer El Capitan at LLNL is still almost two years away, teams of code developers are busy working on predecessor systems to ensure critical applications are ready for Day One.

To prepare for the exascale El Capitan and the next generation of power-hungry supercomputers, LLNL construction crews and maintenance workers have been working since late 2019 and throughout the pandemic on a $100 million Exascale Computing Facility Modernization project.

A newly funded project involving co-principal investigator and LLNL computer scientist Ignacio Laguna will examine one of the major challenges as supercomputers become increasingly heterogeneous—the numerical aspects of porting scientific applications to different HPC platforms.

A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.

Our use of supercomputers is enabled by the codes developed to model and simulate complex physical phenomena on massively parallel architectures.

In a talk recorded for the 2020 LLNL Computing Virtual Expo, Computing principal deputy associate director and ECP deputy director Lori Diachin describes the ECP’s goals and the Laboratory's role.

The latest issue of LLNL's Science & Technology Review magazine showcases Computing in the cover story alongside a commentary by Bruce Hendrickson.

The hypre team's latest work gives scientists the ability to efficiently utilize modern GPU-based extreme scale parallel supercomputers to address many scientific problems.

The latest issue of LLNL's Science & Technology Review magazine highlights the work already accomplished with the Sierra supercomputer and what's to come.

LLNL can lay claim to housing 4 of the world’s 100 most powerful supercomputers, more than any other institution according to the TOP500 List announced during SC20.

When it comes to solving complex technical issues for GPU-accelerated supercomputers, the national labs have found that tackling them is “better together.”

The Center for Efficient Exascale Discretizations recently released MFEM v4.1, which introduces features important for the nation’s first exascale supercomputers. LLNL's Tzanio Kolev explains.

AMD will supply upgraded GPUs for the Corona supercomputing cluster, which will be used by scientists working on discovering potential antibodies and antiviral compounds for SARS-CoV-2.

With its advanced CPUs/GPUs developed by AMD, El Capitan’s peak performance is expected to exceed 2 exaflops, which would make it the fastest supercomputer in the world when it is deployed in 2023.

A multi-institutional consortium aims to speed up the drug discovery pipeline by building predictive, data-driven pharmaceutical models.

The Summit Sierra team, consisting of 45 staff at LLNL and ORNL, received a DOE Secretary’s Achievement Award for delivering, respectively, Sierra and Summit supercomputers.

The latest TOP500 List of the world's most powerful computers was released at the International Supercomputing Conference for HPC, Networking, Storage and Analysis (SC19) in Denver.

After years of preparation, LLNL’s upgraded Ares code runs a 98-billion-element simulation on 16,384 GPUs on the Sierra supercomputer.

The NNSA’s first exascale supercomputer, El Capitan, will have a peak performance of more than 1.5 exaflops (1.5 quintillion calculations per second) and an anticipated delivery in late 2022.

LLNL is home to several supercomputers, including Sierra, the world's second fastest. PCMag stopped by to find out how these computers handle virtual nuclear weapons tests and weather modeling.

FGPU provides code examples that port FORTRAN codes to run on IBM OpenPOWER platforms like LLNL's Sierra supercomputer.

In this video from the 2019 Stanford HPC Conference, LLNL's Rob Neely presents "Sierra – Science Unleashed." Sierra is NNSA’s first large-scale production heterogeneous system.

Umpire is a resource management library that allows the discovery, provision, and management of memory on next-generation architectures.

Highlights include debris an shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.