Topic: Hybrid/Heterogeneous

The Exascale Computing Project (ECP) 2022 Community Birds-of-a-Feather Days will take place May 10–12 via Zoom. The event provides an opportunity for the HPC community to engage with ECP teams to discuss our latest development efforts.

El Capitan will have a peak performance of more than 2 exaflops—roughly 16 times faster on average than the Sierra system—and is projected to be several times more energy efficient than Sierra.

LC sited two different AI accelerators in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona cluster.

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 next generation of power-hungry supercomputers, LLNL crews have been working throughout the pandemic on a $100 million Exascale Computing Facility Modernization project.

A newly funded project involving LLNL computer scientist Ignacio Laguna will examine 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.

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

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

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

Highlights include the latest work with RAJA, the Exascale Computing Project, algebraic multigrid preconditioners, and OpenMP.

Highlights include recent LDRD projects, Livermore Tomography Tools, our work with the open-source software community, fault recovery, and CEED.