Leros: The return of the accumulator machine

Martin Schoeberl; Morten Borup Petersen

doi:10.1007/978-3-030-18656-2_9

Leros: The return of the accumulator machine

Martin Schoeberl^*, Morten Borup Petersen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

56 Downloads (Pure)

Abstract

An accumulator instruction set architecture is simpler than an instruction set of a (reduced instruction set computer) RISC architecture. Therefore, an accumulator instruction set that does within one instruction less than a typical RISC instruction is probably more “reduced” than a standard load/store register based RISC architecture. This paper presents Leros, an accumulator machine and its supporting C compiler. The hypothesis of the Leros instruction set architecture is that it can deliver the same performance as a RISC pipeline, but consumes less hardware and therefore also less power.

Original language	English
Title of host publication	Architecture of Computing Systems - ARCS 2019 - 32nd International Conference, Proceedings
Editors	Martin Schoeberl, Thilo Pionteck, Sascha Uhrig, Jürgen Brehm, Christian Hochberger
Number of pages	13
Publisher	Springer
Publication date	1 Jan 2019
Pages	115-127
ISBN (Print)	9783030186555
DOIs	https://doi.org/10.1007/978-3-030-18656-2_9
Publication status	Published - 1 Jan 2019
Event	32nd International Conference on Architecture of Computing Systems, ARCS 2019 - Copenhagen, Denmark Duration: 20 May 2019 → 23 May 2019

Conference

Conference	32nd International Conference on Architecture of Computing Systems, ARCS 2019
Country	Denmark
City	Copenhagen
Period	20/05/2019 → 23/05/2019

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11479 LNCS
ISSN	0302-9743

Keywords

Embedded systems
Minimal processor

Cite this

Schoeberl, M., & Petersen, M. B. (2019). Leros: The return of the accumulator machine. In M. Schoeberl, T. Pionteck, S. Uhrig, J. Brehm, & C. Hochberger (Eds.), Architecture of Computing Systems - ARCS 2019 - 32nd International Conference, Proceedings (pp. 115-127). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.. 11479 LNCS https://doi.org/10.1007/978-3-030-18656-2_9

Schoeberl, Martin ; Petersen, Morten Borup. / Leros : The return of the accumulator machine. Architecture of Computing Systems - ARCS 2019 - 32nd International Conference, Proceedings. editor / Martin Schoeberl ; Thilo Pionteck ; Sascha Uhrig ; Jürgen Brehm ; Christian Hochberger. Springer, 2019. pp. 115-127 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11479 LNCS).

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Schoeberl, M & Petersen, MB 2019, Leros: The return of the accumulator machine. in M Schoeberl, T Pionteck, S Uhrig, J Brehm & C Hochberger (eds), Architecture of Computing Systems - ARCS 2019 - 32nd International Conference, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11479 LNCS, pp. 115-127, 32nd International Conference on Architecture of Computing Systems, ARCS 2019, Copenhagen, Denmark, 20/05/2019. https://doi.org/10.1007/978-3-030-18656-2_9

Leros : The return of the accumulator machine. / Schoeberl, Martin; Petersen, Morten Borup.

Architecture of Computing Systems - ARCS 2019 - 32nd International Conference, Proceedings. ed. / Martin Schoeberl; Thilo Pionteck; Sascha Uhrig; Jürgen Brehm; Christian Hochberger. Springer, 2019. p. 115-127 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11479 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Schoeberl M, Petersen MB. Leros: The return of the accumulator machine. In Schoeberl M, Pionteck T, Uhrig S, Brehm J, Hochberger C, editors, Architecture of Computing Systems - ARCS 2019 - 32nd International Conference, Proceedings. Springer. 2019. p. 115-127. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11479 LNCS). https://doi.org/10.1007/978-3-030-18656-2_9

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10.1007/978-3-030-18656-2_9

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