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ARM Accelerates Mathematical Computation on 64-bit ARM-based HPC SystemsCambridge, UK, Nov. 12, 2015 – Further strengthening its commitment to high performance computing (HPC) servers, ARM announced new math libraries that are precision-tuned for 64-bit ARM®v8-A processors. ARM Performance Libraries are foundational math routines designed to enable the maximum performance of computational software running on ARM-based HPC (High-performance computing) servers and systems. ARM math libraries take advantage of each silicon partner's specific microarchitecture innovations and features within their SoCs based on the ARMv8-A architecture to ensure peak system performance. The HPC community will have an opportunity to see the first public demonstrations of ARM Performance Libraries at the upcoming SC15 conference. "ARM Performance Libraries are another key milestone in the advancement of the ARM server and HPC ecosystem," said Hobson Bullman, general manager, developer systems group, ARM. "The HPC community are early adopters of ARM-based servers and the introduction of optimized math routines build a foundation for enabling scientific computing on 64-bit ARM based compute platforms. ARM Performance Libraries hit the mark for both software performance and a consistent library interface to enable ease of software development and portability to ARMv8-A server platforms." ARM Performance Libraries optimized for Partner silicon Numerical Algorithms Group (NAG) at the core of ARM Performance Libraries "Utilizing NAG's Linear Algebra and FFT algorithms at its core, ARM Performance Libraries are the perfect building block for higher-level scientific computing applications," said Mike Dewar, CTO, NAG. "The hardware-specific performance tuning enabled by ARM Performance Libraries, combined with NAG's stringent requirements for robustness and mathematical correctness, will yield the fastest and most accurate computational mathematics routines for the ARM ecosystem." "Cavium is pleased to partner with ARM and NAG to deliver the optimized libraries that are required for the most demanding HPC and Big Data Analytics software applications," said Larry Wikelius, director, ecosystems and partner enablement, Cavium. "ThunderX™, Cavium's 48-core ARMv8-A based Workload Optimized Processor with dual-socket support is the ideal platform for delivering best-in-class performance for high performance computing applications utilizing the ARM Performance Library. Cavium and ARM continue to aggressively drive the ARMv8-A server ecosystem with industry-leading system and software partners that are delivering key solutions to the HPC, enterprise and hyper-scale server market." Enabling Open Source for ARM HPC Commercially licensed
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