1 / 13

Programmability

Programmability. Hiroshi Nakashima Thomas Sterling. Key Challenges (1). Parallelism Expose sufficient parallelism (multi billion-way) Manage the massive parallelism in ensemble (hierarchy) Reveal rich form and granularity of parallelism Efficient exploitation of fine grained parallelism

tallys
Télécharger la présentation

Programmability

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Programmability Hiroshi Nakashima Thomas Sterling

  2. Key Challenges (1) • Parallelism • Expose sufficient parallelism (multi billion-way) • Manage the massive parallelism in ensemble (hierarchy) • Reveal rich form and granularity of parallelism • Efficient exploitation of fine grained parallelism • Distribution and resource assignment • Enables exploitation of separate concurrency of action • Need for some kind of global name space • Locality management • Reduces latency of access and control • Exposure of object and control affinity

  3. Key Challenges (2) • Management of memory hierarchy • Transparent cache misses • Finite cache size and structure • Copy semantics and consistency(?) • Latency hiding • Already said locality management • Intrinsic overlap of communication with computation to mitigate impact • Hardware idiosyncrasies • E.g., TLB misses • Non-deterministic resolution of shared resource contention • Branch prediction, register renaming, etc.

  4. Key Challenges (3) • Legacy codes may not meet requirements for future Exascale systems • Rewrite only once, please. • What is the paradigm or execution model for the programming model to satisfy and cooperate with remaining system components? • Distribution of responsibilities across system components • Libraries • Code reuse • Decouples performance issue from logical function • Can adapt to your program requirements • Should learn about your data structure, not you about library

  5. Key Challenges (4) • Interoperability • Between cooperating concurrently executing functionality • Exploit existing legacy codes during transitional periods • Minimization of performance sensitivity • Robust guarantees of correctness of result • Elimination of over constraining synchronization bottlenecks • e.g., global barriers • Lightweight synchronization • Re-empower strong scaling • Portability • Different systems • Different scale • Different generations

  6. Potential Impact on Software Component • Need for new model of computation • Programming model reflects user program parallelism • Runtime system make available runtime information for decision chain • Architecture and runtime minimize overhead to enable useful rich mechanisms for control, cooperation, and sharing • Asynchrony management for out of order arrival of data transfers and service completion • Guaranteed compound atomic operations for user programmed segments with efficient protection • OS protocol to inform runtime system – bi directional exchange

  7. Summary of Research Directions • Separation of logical functionality from performance attributes • New model of computation • Diversity of parallelism forms and sizes • Data directed execution • Dynamic graph-based problems, encoding, and control • New programming models that interoperate with old • Dealing with memory hierarchies • Advanced runtime systems • Requirements for new ultra massive architecture • Automatic runtime tuning for heterogeneous architectures

  8. Potential Impact on Usability, Capability, & Breadth of Community • Enormous • Essential • Ease of use • Eternal • Everyone

  9. 4.x Programmability Cross-cutting property of concurrency as it relates to programmability 10 billion-way parallelism Billion-way parallelism Exposed Concurrency 10 million-way parallelism 100 million-way parallelism 100 thousand way parallelism Million-way parallelism 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019

  10. 4.x Programmability • Technology drivers • Programming models and languages • Compiler analysis, distribution, and allocation • Runtime system software • OS • Architecture structure, semantics, and mechanisms

  11. 4.x Programmability • Alternative R&D strategies • Models of computation • Message passing with multi threaded processes • Message-driven work-queue multithreaded • Programming models • MPI-8 • Event-driven multithreaded with GAS • DSP and Declarative • Runtime system software

  12. 4.x Programmability • Recommended research agenda • Model of computation • Decision chain across system layers • Protocols between successive layers

  13. 4.x Programmability • Crosscutting considerations • It is one • Performance • major hazard for programmabiltiy • Reliability • Does the application program play a role in determining response to faults

More Related