Optimum instruction-level parallelism (ILP) for superscalar and VLIW processors
Patrick C. K. Hung, Michael J. Flynn
Abstract
Patrick C. K. Hung, Michael J. Flynn
Abstract
Modern superscalar and VLIW processors fetch, decode, issue, execute, and retire multiple instructions per cycle. By taking advantage of instruction-level parallelism (ILP), processor performance can be improved substantially. However, increasing the level of ILP may eventually result in diminishing and negative returns due to control and data dependencies among subsequent instructions as well as resource conflicts within a processor. Moreover, the additional ILP complexity can have significant overload in cycle time and latency. This technical report uses a generic processor model to investigate the optimum level of ILP for superscalar and VLIW processors.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Modern superscalar and VLIW processors fetch, decode, issue, execute, and retire multiple instructions per cycle. By taking advantage of instruction-level parallelism (ILP), processor performance can be improved substantially. However, increasing the level of ILP may eventually result in diminishing and negative returns due to control and data dependencies among subsequent instructions as well as resource conflicts within a processor. Moreover, the additional ILP complexity can have significant overload in cycle time and latency. This technical report uses a generic processor model to investigate the optimum level of ILP for superscalar and VLIW processors.
Key concepts: Very long instruction word, Computer science, Instruction-level parallelism, Parallel computing, Superscalar, Instructions per cycle, Parallelism (grammar), Latency (audio)