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Back-end (foundation) Working group X-stack PI Kickoff Meeting Sept 19, 2012.

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Presentation on theme: "Back-end (foundation) Working group X-stack PI Kickoff Meeting Sept 19, 2012."— Presentation transcript:

1 Back-end (foundation) Working group X-stack PI Kickoff Meeting Sept 19, 2012

2 Team Ron Brightwell Vivek Sarkar Hartmut Kaiser Costin Iancu Andrew A. Chien Saman Amarsinghe Wilfred Pinfold Shekhar Borkar Yonghong Yan Adolfi Hoisie Thomas Sterling Mattan Erez Rishi Khan

3 Back-end Mission Take Front-end information and Platform/system information achieve energy-efficient, desired performance, resilient execution in the face of extremely complex Exascale hardware – Front-end information: algorithmic choice, expression of parallelism, other HL semantic information, application goals) – Platform/system information: configuration, capabilities, dynamic state, error/faults, other site/system constraints)

4 What is not Back-End Front-end Issues: (Programmer Facing…) – expression of parallelization, algorithmic locality – algorithmic details – expression of locality – domain specific information – capture other high level semantic information – tools (debugging, etc.) – job scheduling

5 What is Back-End? - what is the back end? (parallelization, localization); platform-facing - starts at the level of lowering in the compiler - architecture level decisions - runtime and resilience decisions - overlapping of management of technology spaces, but some concerns we will exclude Is back-end synonymous with runtime? No, but there is some overlap

6 What is Back-End? (though not exclusively) (re)mapping the application dealing with the application execution aspects platform tuning annotations adaptive feedback (performance data capture for front end) Autotuning dealing with compute element heterogeneity – macroscopic (different chips) – microscopic (on-chip) – technology induced heterogeneity memory hierarchy heterogeneity Resiliency degradation / long term change scheduling - large-grain, fine- grain migration - large-grain, fine-grain data mapping (addressability, distribution) data movement implementation locality (and hierarchy) architecture locality (and hierarchy) energy management - dvfs, power state, speed config, reliability config, etc. over provisioned hardware (control) => typically includes the part of the runtime which is application facing => typically doesn’t include the part of the runtime that is systems facing

7 Front End Back End Relation to Compiler, Runtime, Operating Systems Application HL Compiler LL Compiler Runtime OS + Hardware

8 Top 5 Challenges for Back-end 1. Choice of implementation primitives to maximize parallelism and data placement flexibility 2. Manage algorithm and implementation variety/heterogeneity/multiplicity 3. Resilience and fault-diagnosis/error management/recovery 4. Intelligent placement/scheduling of compute and data, that balance parallelism (realized parallelism) and data locality -- from above 5. Online resource management (dynamic energy and configuration management, self-awareness) -- from below 6. Interface to OS and Platform - services that provide efficient, right information - static and system information - resource access and protection - resource configuration control (performance and energy, degree of parallelism, precision, memory hierarchy, redundancy - error coverage etc.)

9 Back-End X-stack Activity D-TEKTGDEGASXPRESSDAXGVRX-TuneCorvetteSLEEC Choice of primitives Manage Algo. and Imp. ? ? Resilience Placement/ Scheduling Resource Management OS/ Platform Interface Needs more investment Gaps Interoperation Support for “strong scaling” – latency minimization Others?


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