Podcast
Questions and Answers
What type of parallelism is achieved by SIMD?
What type of parallelism is achieved by SIMD?
What happens if there are fewer ALUs than data items in SIMD?
What happens if there are fewer ALUs than data items in SIMD?
In classic design, what is required for the ALUs in SIMD?
In classic design, what is required for the ALUs in SIMD?
What type of problems is SIMD efficient for?
What type of problems is SIMD efficient for?
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What type of processors are mentioned as an alternative to SIMD?
What type of processors are mentioned as an alternative to SIMD?
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What is the main characteristic of a Distributed Memory System cluster?
What is the main characteristic of a Distributed Memory System cluster?
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How does the number of devices connected to a bus interconnect affect performance?
How does the number of devices connected to a bus interconnect affect performance?
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What are the two categories of interconnection networks mentioned?
What are the two categories of interconnection networks mentioned?
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What are the individual computation units in a cluster of a Distributed Memory System called?
What are the individual computation units in a cluster of a Distributed Memory System called?
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What is another term used to refer to a Distributed Memory System cluster?
What is another term used to refer to a Distributed Memory System cluster?
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Study Notes
Parallelism in SIMD
- SIMD (Single Instruction, Multiple Data) achieves data parallelism, where a single instruction is executed on multiple data items simultaneously.
ALUs in SIMD
- If there are fewer ALUs (Arithmetic Logic Units) than data items in SIMD, the processing is done in batches, with each batch requiring a separate clock cycle.
- In classic design, ALUs in SIMD are required to be identical, with each ALU performing the same operation on different data items.
Efficiency of SIMD
- SIMD is efficient for problems that involve the same operation on a large dataset, such as scientific simulations, image processing, and data compression.
Alternative to SIMD
- Vector processors are mentioned as an alternative to SIMD, which also perform the same operation on multiple data items, but with a different architecture.
Distributed Memory System Cluster
- The main characteristic of a Distributed Memory System cluster is that each node has its own local memory, and data is exchanged between nodes using interconnection networks.
Interconnection Networks
- The number of devices connected to a bus interconnect affects performance, as it increases the latency and reduces the bandwidth of the network.
- There are two categories of interconnection networks: static networks (e.g., mesh, torus) and dynamic networks (e.g., bus, switch).
Computation Units in a Cluster
- The individual computation units in a cluster of a Distributed Memory System are called nodes.
Alternative Term for Distributed Memory System
- A Distributed Memory System cluster is also referred to as a cluster computer or a massively parallel processor (MPP).
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Description
Test your knowledge of Single Instruction, Multiple Data (SIMD) parallelism with this quiz. Explore how data is divided among processors and how the same instruction is applied to multiple data items.
