data: an instruction depends on
Instruction Level Parallelism. Pipelining can overlap the execution of instructions when they are independent of one another. This potential overlap among instructions is called instruction-level parallelism (ILP) since the instructions can be evaluated in parallel.
5 Mar 2016
Instruction vs Machine Parallelism. • Instruction-level parallelism (ILP) of a program—a measure of the average number of instructions in a program that, in theory, a processor might be able to execute at the same time. • Mostly determined by the number of true (data) dependencies and procedural (control) dependencies in.
SIMD instructions, Vector processors, GPUs. ? Multiprocessor. – Symmetric shared-memory multiprocessors. – Distributed-memory multiprocessors. – Chip-multiprocessors a.k.a. Multi-cores. ? Multicomputers a.k.a. clusters. ? Parallelism in Software. ? Instruction level parallelism. ? Task-level parallelism. ? Data parallelism.
Instruction-level parallelism (ILP) is a measure of how many of the instructions in a computer program can be executed simultaneously. There are two approaches to instruction level parallelism: Hardware.

Scheduling. • Central problem to ILP processing. – need to determine when parallelism (independent instructions) exists. – in Pentium example, decode stage checks for multiple conditions: •is there a data dependency? – does one instruction generate a value needed by the other? – do both instructions write to the same
What is a parallel instruction? ILP is a measure of the number of instructions that can be performed during a single clock cycle. Parallel instructions are a set of instructions that do not depend on each other to be executed. Hierarchy. Bit level Parallelism. 16 bit add on 8 bit processor. Instruction level Parallelism; Loop level

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March 2018