Microcode compaction: looking backward and looking forward

Authors:
Joseph A. Fisher;David Landskov;Bruce D. Shriver
Affiliations:
Yale University, New Haven, Connecticut;University of Southwestern Louisiana, Lafayette, Louisiana;University of Southwestern Louisiana, Lafayette, Louisiana
Venue:
AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference
Year:
1981

Citing 10
Cited 6

The Organization of Microprogram Stores

ACM Computing Surveys (CSUR)
Local Microcode Compaction Techniques

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A technique of global optimization of microprograms

MICRO 11 Proceedings of the 11th annual workshop on Microprogramming
Methods of compacting microprograms

Methods of compacting microprograms
Principles of Compiler Design (Addison-Wesley series in computer science and information processing)

Principles of Compiler Design (Addison-Wesley series in computer science and information processing)
Some Experiments in Local Microcode Compaction for Horizontal Machines

IEEE Transactions on Computers
Trace Scheduling: A Technique for Global Microcode Compaction

IEEE Transactions on Computers
High-Speed Multiprocessors and Compilation Techniques

IEEE Transactions on Computers
A High-Level Language for Horizontal Microprogramming

IEEE Transactions on Computers
The Inhibition of Potential Parallelism by Conditional Jumps

IEEE Transactions on Computers

Processor Scheduling for Linearly Connected Parallel Processors

IEEE Transactions on Computers
Experiments in Automatic Microcode Generation

IEEE Transactions on Computers
Introduction

IEEE Transactions on Computers
Some Experiments in Local Microcode Compaction for Horizontal Machines

IEEE Transactions on Computers
A Preliminary Evaluation of Trace Scheduling for Global Microcode Compaction

IEEE Transactions on Computers
V-Compiler: a next-generation tool for microprogramming

AFIPS '81 Proceedings of the May 4-7, 1981, national computer conference

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Abstract

The past decade has seen significant advances in the state of the art in microcode compaction. Microprograms are compacted by placing several microoperations into each microinstruction, subject to the constraints of data dependency in the program and legal resource usage in the machine on which the microcode will execute. The compaction process attempts to make the code run as fast as possible. In this paper we will not only survey the most recent past in microcode compaction but will also speculate about the near future.