A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.
Topic: Data Movement and Memory
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The latest issue of LLNL's Science & Technology Review magazine showcases Computing in the cover story alongside a commentary by Bruce Hendrickson.
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Co-Design | Computational Math | Data Movement and Memory | Discrete Mathematics | Emerging Architectures | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Open-Source Software | Performance, Portability, and Productivity | Software Applications | Software Engineering | Software Libraries
Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
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AI/ML | Biology/Biomedicine | Computational Math | Computational Science | Critical Infrastructure | Cyber Security | Data Movement and Memory | Data Science | Discrete Mathematics | Emerging Architectures | HPC Systems and Software | Open-Source Software | Performance, Portability, and Productivity | Resource and Workflow Management
Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.
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Umpire is a resource management library that allows the discovery, provision, and management of memory on next-generation architectures.
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Highlights include debris an shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.
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Computer scientist Maya Gokhale appreciates the unpredictability and rapid pace of change in her chosen field. “You never know where computing is going to go, and that’s what’s exciting about it,” she says.
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