![]() LC can also set the clock to a specific speed regardless of workload.- SHA-1 : f1a1beb2c0918b4b545c21b4d5b94ac6e046e7f9 At LC speeds can vary from approximately 2.3 - 3.8 GHz. Clock: due to adaptive power management options, the clock speed can vary depending upon the system load.4 SMT threads per core 176 SMT threads per node.Hybrid architecture using IBM POWER9 processors and NVIDIA Volta GPUs.rzansel - a 1.5 petaflop system is located on LC's RZ zone.lassen - a 22.5 petaflop system located on LC's CZ zone.Unclassified Sierra systems are similar, but smaller, and include:.Sierra is a Tri-lab resource sited at Lawrence Livermore National Laboratory. Sierra is a classified, 125 petaflop, IBM Power Systems AC922 hybrid architecture system comprised of IBM POWER9 nodes with NVIDIA Volta GPUs.Parallel File System: IBM Spectrum Scale (GPFS).One dual-port 100 Gb/s EDR Mellanox adapter per node.Mellanox 100 Gb/s Enhanced Data Rate (EDR) InfiniBand.1.6 TB NVMe PCIe SSD per compute node (CZ ray system only).4 links per GPU/CPU with 160 GB/s total bandwidth (bidirectional).Interconnect for GPU-GPU and CPU-GPU shared memory.16 GB HBM2 (High Bandwidth Memory 2) per GPU 732 GB/s peak bandwidth.3584 CUDA cores per GPU 14,336 per node.4 NVIDIA Tesla P100 (Pascal) GPUs per compute node (not on login/service nodes).At LC speeds can vary from approximately 2 GHz - 4 GHz. 8 SMT threads per core 160 SMT threads per node.Hybrid architecture using IBM POWER8+ processors and NVIDIA Pascal GPUs.Similar to the final delivery Sierra systems but use the previous generation IBM Power processors and NVIDIA GPUs.Primary purpose was to provide platforms where Tri-lab users could begin porting and preparing for the hardware and software that would be delivered with the final Sierra systems.In preparation for the final delivery Sierra systems, LLNL implemented three "early access" systems, one on each network:.DOE / NNSA CORAL Fact Sheet (Dec 17, 2014).The Argonne system's planned delivery (revised) is in 2021. LLNL and ORNL systems were delivered in the 2017-18 timeframe.Will be used for the most demanding scientific and national security simulation and modeling applications, and will enable continued U.S.Will culminate in three ultra-high performance supercomputers at Lawrence Livermore, Oak Ridge, and Argonne national laboratories.CORAL is the next major phase in the DOE's scientific computing roadmap and path to exascale computing.Department of Energy (DOE) collaboration between the NNSA's ASC Program and the Office of Science's Advanced Scientific Computing Research program (ASCR). C O R A L = Collaboration of Oak Ridge, Argonne, and Livermore.The material covered by EC3501 - Introduction to Livermore Computing Resources would also be useful. Familiarity with MPI and OpenMP is desirable. A basic understanding of parallel programming in C or Fortran is required. Level/Prerequisites: Intended for those who are new to developing parallel programs in the Sierra environment. The tutorial concludes with discussions on available debuggers and performance analysis tools.Ī Quickstart Guide is included as an appendix to the tutorial, but it is linked at the top of the tutorial table of contents for visibility. The topic of running jobs is covered in detail in several sections, including obtaining system status and configuration information, creating and submitting LSF batch scripts, interactive jobs, monitoring jobs and interacting with jobs using LSF commands.Ī summary of available math libraries is presented, as is a summary on parallel I/O. These are followed by more in-depth usage information on compilers, MPI and OpenMP. ![]() User environment topics common to all LC systems are reviewed. Information about user accounts and accessing these systems follows. The CORAL EA and Sierra hybrid hardware architectures are discussed, including details on IBM POWER8 and POWER9 nodes, NVIDIA Pascal and Volta GPUs, Mellanox network hardware, NVLink and NVMe SSD hardware. It begins by providing a brief background on CORAL, leading to the CORAL EA and Sierra systems at LLNL. This tutorial is intended for users of Livermore Computing's Sierra systems.
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