Glossary and References: Difference between revisions
From Modelado Foundation
imported>Luszczek (Strawman definitions) |
imported>Luszczek (Strawman definitions) |
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* Resources management (compute, memory, …), e.g. allocation, physical materialization, deallocation/freeing | * Resources management (compute, memory, …), e.g. allocation, physical materialization, deallocation/freeing | ||
== Data source | == Data source == | ||
Originator of data communication | |||
== Data sink == | |||
Destination for data communication | |||
== Event == | == Event == | ||
Handle for an object that tracks whether sync has been triggered, that may be used for communicating the fulfillment of data or control dependences | Handle for an object that tracks whether sync has been triggered, that may be used for communicating the fulfillment of data or control dependences |
Revision as of 16:46, January 17, 2017
Below is a list of terms and concepts that could be defined for common usage. Feel free to add to the list of terms, and to begin offering possible definitions.
Action
Operation that is executed using resources, ordered in a way that maintains dependences, has a specific beginning and end (we need to make this more rigorous) Actions may be a different kinds.
- Compute (task)
- Data movement
- Control (synchronization, conditional/predication)
- Resources management (compute, memory, …), e.g. allocation, physical materialization, deallocation/freeing
Data source
Originator of data communication
Data sink
Destination for data communication
Event
Handle for an object that tracks whether sync has been triggered, that may be used for communicating the fulfillment of data or control dependences
Dependence
Task
Unit of execution that may be split into one or many tasklets.
Tasklet
Non-decomposable unit of execution that performs useful work.
Hierarchical
- A hierarchy may have some number of levels, some number of actions at each level
- A hierarchical design facilitates commonality of abstraction across different layers
- Kinds of hierarchy
- Data - partitioning of data can imply decomposition of work
- Control - an aggregation operation can be broken into pieces, and those pieces could range from a simple sequence to a complex task graph with cycles with control
- Resource - based on topological groups, for example
Heterogeneous
Heterogeneity comes in different forms
- Kinds of resources
- Compute, e.g. CPU, GPU, FPGA, TPU, ASIC
- Memory, e.g. HBM, DDR, SW-managed cache, level in caching hierarchy
- Numbers of resources
- Computing elements
- Memory bytes
- Arrangements of resources
- Topology of computing elements
- Data layout
- Implementations
- Network or connectivity configurations, e.g. choice of fabric
- Algorithm
- Code implementation, e.g. for different data layout, different computing kid, number of computing elements, amount of memory, etc.