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1. Project Goal (SISA Omni-OS). Project Goal - Develop an Operating System that will scale to 80% efficiency at 1000+ cores by 2015 and support a transition path from Linux and GNU based ecosystem (2011) 50%@48 --> (2013) 80%@100 cores incrementing up to 80%@1000 cores by 2015
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1. Project Goal (SISA Omni-OS) • Project Goal • - Develop an Operating System that will scale to 80% efficiency at 1000+ cores by 2015 and support a transition path from Linux and GNU based ecosystem • (2011) 50%@48 --> (2013) 80%@100 cores incrementing up to 80%@1000 cores by 2015 • - Necessary system S/W to realize the benefits of manycore processors and enable future “killer applications” that require massively concurrent execution • - 1000-core processors expected to be commercially viable by 2015. Measurements on existing state-of-the-art Operating Systems (e.g., Linux, MIT fos) indicate < 10% efficiency at 1000 cores Benefit • - Realize processing and power saving potential of future homogeneous and heterogeneous processors • - Enable capabilities not viable with todays Mobile Operating System solutions (real-time, QoS, flexibility) • - Provide a technology path to transparent “leap frog” cloud computing solutions • - Position Samsung to have its own differentiating OS solution (non-reliance on Google and Microsoft) • - Provide a OS solution for SAIT in-house advanced processor technology (refer to SAIT System Arch Lab) Need - OS and System S/W solution for manycore processor technologies - Enable platform (H/W + S/W) differentiation through application performance (scaling and real-time), portability, reliability and security (refer to SAIT/ICL LEGO-OS project) - Fundamental technology with broad business impact across existing CE and future business areas - [Ultimately] Open Source driven to capture existing GNU/Linux communities and ecosystems
2. Project Approach • Project Approach • Key success factors: • continuation of Moore’s law circuit fabrication scaling (e.g., planar < 10nm, 3D) and commercial realization of 1000-core processor • advent of alternatives to CMOS may drive return to frequency scaling as principal differentiator • Apple/Microsoft/GNU and Linux community are slow to move to scalable architecture for manycore (Samsung can develop both S/W and H/W technology at the same time [integration with SAIT-SAL Adv. Processor work]) • Unique approach • distributed (on- and off-chip) micro-kernel architecture that eliminates global synchronization (scalability limiter) • holistic view that integrates parallel programming (compiler/runtime) with OS capabilities Competition - GNU Hurd microkernel (http://www.gnu.org/software/hurd/) will likely replace monolithic kernel in the Linux community; this architecture lends itself to the development of a scalable solution - other academic manycore Operating Systems (MIT -FOS, Microsoft/ETH Barrelfish (project ended), UC Berkeley Tessellation); these OSesare early prototypes and data indicates poor scalability at 1000 cores - unknown competition by Apple/Google/Microsoft Approach • - rework existing L4 microkernel (TU Dresden) to eliminate scaling limiters and integrate manycore-specific features (e.g., partitioned scheduling) • - build a new user-land “personality” based on ideas from Genode Labs that provides fine-grained resource management; current Genode Labs solution don’t scale • - integrate new, innovative OS designs that focus on scalability on manycore (e.g., distributed physical memory management • - collaborations with Purdue University/Genode Labs
