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Scalability Panel



James B. White III (Trey)









1

Domain-specific performance metrics





• Simulated years / day

• Efficacy = 1/(time x error)

- Mousseau, Knoll, Reisner (2002)

• Climate/weather efficacy = skill / time

• Strong scaling







2

Role of accelerators

• Relatively cheap and available

• Favor move to higher resolution, more

physical processes

• Favor use of higher-order methods

- More flops per memory op

- Does high order help with low-order

parameterizations and noisy initial and boundary

conditions?

• See next slide



3

Themes for HPC application

development

• Last 5 years: Scale out

- More nodes

• Next 5 years: Scale in

- Parallelism within node/socket

• 5 years after that: Scale in time?

- Longer global time steps

- Increasing asynchrony

- Redundant and speculative computation

- Hierarchical fault recovery

- Aggressive in situ analysis and data reduction



4

Programming models

• Hardware will continue to drive software

• HPC architectures keep gaining levels in hierarchy

- Memory and process hierarchies

- Becoming more like a web than a hierarchy?

• Evolution to more levels in programming model

• Driven by availability, visibility, and robustness of

implementations

- Not potential for productivity of model

• No new languages (that I know of) show enough

promise to justify large-scale refactoring

• See next slide



5

Characteristics of a new highly

productive programming language

• Strong separation of concerns between (1) specification of

computation, (2) specification of job, (3) mapping to hardware

• Core language for minimalist specification of computation

- Emphasis on correctness and minimum dependencies (maximum

parallelism)

- One copy of code per application version, portable

• Meta-language to specify details of a job

- Input/output, parameters that affect output values

- One copy of code per use case, portable

• Meta-language for mapping computation to hardware

- Doesn't change semantics, doesn't affect correctness

- Doesn't change output values (significantly?)

- Multiple copies of code per computing environment





6

HPC system attributes





• Deeper hierarchies / more-complex webs

• Zillions of concurrent flops

• Huge data volumes

• Stagnant global latencies







7



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