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| IBM Roadrunner (supercomputer) | |
|---|---|
| Name | Roadrunner |
| Manufacturer | IBM |
| Release | 2008 |
| Location | Los Alamos National Laboratory |
| Type | Supercomputer |
| Cpu | AMD Opteron, IBM PowerXCell 8i |
| Peak | 1.105 petaFLOPS |
| Os | Red Hat Enterprise Linux |
| Purpose | Scientific simulation, national security |
IBM Roadrunner (supercomputer) Roadrunner was a hybrid petascale supercomputer deployed at Los Alamos National Laboratory in 2008, notable for being the first system to break the petaflop barrier on the TOP500 list. Commissioned for large-scale simulation work related to United States Department of Energy mission needs, Roadrunner combined commodity and accelerator technologies to deliver sustained performance for codes supporting Nuclear weapon stewardship and scientific research.
Roadrunner's delivery marked a major milestone comparable to milestones like the ENIAC debut and the arrival of Cray-1 systems at scientific centers such as Lawrence Livermore National Laboratory and Oak Ridge National Laboratory. The system was built by a collaboration led by IBM with contributions from Los Alamos National Laboratory, National Nuclear Security Administration, and vendors including Advanced Micro Devices and partners in high-performance computing such as Red Hat and Xilinx. Roadrunner's place on the TOP500 and recognition in venues like the Gordon Bell Prize discussions reflected its significance for projects related to Stockpile Stewardship Program and simulation efforts intersecting with research at institutions like Stanford University, Massachusetts Institute of Technology, and California Institute of Technology.
Roadrunner used a hybrid architecture combining dual-core AMD Opteron processors and the accelerator-based IBM PowerXCell 8i processors derived from the Cell Broadband Engine developed by Sony and Toshiba. The cluster comprised thousands of nodes tied by a high-speed interconnect influenced by designs like InfiniBand and rack-scale systems used by deployments at Sandia National Laboratories. The chassis and cooling approach drew on data center practices from corporations such as Google and Microsoft while integrating power and space considerations familiar to operators at National Renewable Energy Laboratory. Key subsystems and components were provided by suppliers with pedigrees from Intel era research, and system management used tools developed in collaboration with vendors like Red Hat and engineering teams at IBM Research.
Roadrunner achieved a peak performance above one petaFLOPS and a Linpack-performance point that placed it at the top of the TOP500 for its run, echoing prior records set by systems such as ASCI Red and successors like Sequoia (supercomputer). Benchmarking involved comparisons to the High Performance Computing Modernization Program expectations and to theoretical projections from groups including National Science Foundation-funded centers. Performance analyses referenced algorithmic case studies common to facilities like Argonne National Laboratory and software stacks used at NERSC; the results informed later energy-efficiency efforts at centers including Pawsey Supercomputing Centre and influenced rankings on lists curated by organizations like Green500.
Software for Roadrunner combined low-level development for the PowerXCell 8i SPEs with MPI-based distributed programming models used broadly across systems at Princeton University and University of California, Berkeley. Developers employed toolchains influenced by compilers from corporations such as IBM and projects originating at GNU and work on parallel libraries akin to efforts at Argonne National Laboratory's MPI implementations. Optimization strategies referenced case studies from laboratories including Los Alamos and used debuggers and profiling tools similar to those developed at Lawrence Berkeley National Laboratory and commercial offerings from firms like HP and Microsoft Research.
The Roadrunner project was managed through contracts and collaborations involving IBM, Los Alamos National Laboratory, and federal sponsors such as the Department of Energy and National Nuclear Security Administration. Procurement and system integration mirrored large-scale projects at Oak Ridge National Laboratory and required coordination with supply chains connected to Advanced Micro Devices and manufacturing partners in the United States and abroad. Deployment logistics resembled those of earlier national-scale systems like ASCI Blue Mountain and later installations such as Titan (supercomputer), requiring infrastructure upgrades, staffing by specialists from institutions like Sandia National Laboratories, and security practices aligned with NNSA directives.
Roadrunner's successful demonstration of a hybrid CPU-accelerator architecture influenced subsequent projects including Roadrunner-era lessons seen in systems like Titan (supercomputer), Sequoia (supercomputer), and accelerator deployments at Argonne National Laboratory's Mira (supercomputer). Its role in advancing petascale computing informed procurement and design choices at centers such as Oak Ridge National Laboratory and Lawrence Livermore National Laboratory and contributed to research directions pursued by academic partners like MIT and Stanford University. The project also fed into standards and community knowledge used by initiatives at Cray Inc. and informed later exascale roadmaps spearheaded by the Department of Energy and collaborations with firms such as NVIDIA, Intel, and AMD. Roadrunner remains a reference point in histories of computational infrastructure alongside milestones like the ENIAC and the rise of modern accelerator-enabled supercomputing.
Category:Supercomputers Category:IBM systems Category:Los Alamos National Laboratory