PISC: Polymorphic Instruction Set Computers

Stamatis Vassiliadis; Georgi Kuzmanov; Stephan Wong; Elena Moscu-Panainte; Georgi Gaydadjiev; Koen Bertels; Dmitry Cheresiz

doi:10.1007/11802839_36

PISC: Polymorphic Instruction Set Computers

Stamatis Vassiliadis^*, Georgi Kuzmanov, Stephan Wong, Elena Moscu-Panainte, Georgi Gaydadjiev, Koen Bertels, Dmitry Cheresiz

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

Abstract

We introduce a new paradigm in the computer architecture referred to as Polymorphic Instruction Set Computers (PISC). This new paradigm, in difference to RISC/CISC, introduces hardware extended functionality on demand without the need of ISA extensions. We motivate the necessity of PISCs through an example, which arises several research problems unsolvable by traditional architectures and fixed hardware designs. More specifically, we address a new framework for tools, supporting reconfigurability; new architectural and microarchitectural concepts; new programming paradigm allowing hardware and software to coexist in a program; and new spacial compilation techniques. The paper illustrates the theoretical performance boundaries and efficiency of the proposed paradigm utilizing established evaluation metrics such as potential zero execution (PZE) and the Amdahl's law. Overall, the PISC paradigm allows designers to ride the Amdahl's curve easily by considering the specific features of the reconfigurable technology and the general purpose processors in the context of application specific execution scenarios.

Original language	English
Title of host publication	Reconfigurable Computing
Subtitle of host publication	Architectures and Applications
Editors	Koen Bertels, João M. P. Cardoso, Stamatis Vassiliadis
Publisher	Springer
Pages	274-286
Number of pages	13
ISBN (Electronic)	978-3-540-36863-2
ISBN (Print)	978-3-540-36708-6
DOIs	https://doi.org/10.1007/11802839_36
Publication status	Published - 2006
Externally published	Yes
Event	2nd International Workshop on Reconfigurable Computing - Delft, Netherlands Duration: 1-Mar-2006 → 3-Mar-2006

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	3985
ISSN (Print)	0302-9743

Conference

Conference	2nd International Workshop on Reconfigurable Computing
Country/Territory	Netherlands
City	Delft
Period	01/03/2006 → 03/03/2006

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Vassiliadis, S., Kuzmanov, G., Wong, S., Moscu-Panainte, E., Gaydadjiev, G., Bertels, K., & Cheresiz, D. (2006). PISC: Polymorphic Instruction Set Computers. In K. Bertels, J. M. P. Cardoso, & S. Vassiliadis (Eds.), Reconfigurable Computing: Architectures and Applications (pp. 274-286). (Lecture Notes in Computer Science; Vol. 3985). Springer. https://doi.org/10.1007/11802839_36

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title = "PISC: Polymorphic Instruction Set Computers",

abstract = "We introduce a new paradigm in the computer architecture referred to as Polymorphic Instruction Set Computers (PISC). This new paradigm, in difference to RISC/CISC, introduces hardware extended functionality on demand without the need of ISA extensions. We motivate the necessity of PISCs through an example, which arises several research problems unsolvable by traditional architectures and fixed hardware designs. More specifically, we address a new framework for tools, supporting reconfigurability; new architectural and microarchitectural concepts; new programming paradigm allowing hardware and software to coexist in a program; and new spacial compilation techniques. The paper illustrates the theoretical performance boundaries and efficiency of the proposed paradigm utilizing established evaluation metrics such as potential zero execution (PZE) and the Amdahl's law. Overall, the PISC paradigm allows designers to ride the Amdahl's curve easily by considering the specific features of the reconfigurable technology and the general purpose processors in the context of application specific execution scenarios.",

author = "Stamatis Vassiliadis and Georgi Kuzmanov and Stephan Wong and Elena Moscu-Panainte and Georgi Gaydadjiev and Koen Bertels and Dmitry Cheresiz",

year = "2006",

doi = "10.1007/11802839_36",

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pages = "274--286",

editor = "Koen Bertels and Cardoso, {Jo{\~a}o M. P.} and Stamatis Vassiliadis",

booktitle = "Reconfigurable Computing",

note = "2nd International Workshop on Reconfigurable Computing ; Conference date: 01-03-2006 Through 03-03-2006",

}

Vassiliadis, S, Kuzmanov, G, Wong, S, Moscu-Panainte, E, Gaydadjiev, G, Bertels, K & Cheresiz, D 2006, PISC: Polymorphic Instruction Set Computers. in K Bertels, JMP Cardoso & S Vassiliadis (eds), Reconfigurable Computing: Architectures and Applications. Lecture Notes in Computer Science, vol. 3985, Springer, pp. 274-286, 2nd International Workshop on Reconfigurable Computing, Delft, Netherlands, 01/03/2006. https://doi.org/10.1007/11802839_36

PISC : Polymorphic Instruction Set Computers. / Vassiliadis, Stamatis; Kuzmanov, Georgi; Wong, Stephan et al.

Reconfigurable Computing: Architectures and Applications. ed. / Koen Bertels; João M. P. Cardoso; Stamatis Vassiliadis. Springer, 2006. p. 274-286 (Lecture Notes in Computer Science; Vol. 3985).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Wong, Stephan

AU - Moscu-Panainte, Elena

AU - Gaydadjiev, Georgi

AU - Bertels, Koen

AU - Cheresiz, Dmitry

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AB - We introduce a new paradigm in the computer architecture referred to as Polymorphic Instruction Set Computers (PISC). This new paradigm, in difference to RISC/CISC, introduces hardware extended functionality on demand without the need of ISA extensions. We motivate the necessity of PISCs through an example, which arises several research problems unsolvable by traditional architectures and fixed hardware designs. More specifically, we address a new framework for tools, supporting reconfigurability; new architectural and microarchitectural concepts; new programming paradigm allowing hardware and software to coexist in a program; and new spacial compilation techniques. The paper illustrates the theoretical performance boundaries and efficiency of the proposed paradigm utilizing established evaluation metrics such as potential zero execution (PZE) and the Amdahl's law. Overall, the PISC paradigm allows designers to ride the Amdahl's curve easily by considering the specific features of the reconfigurable technology and the general purpose processors in the context of application specific execution scenarios.

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PISC: Polymorphic Instruction Set Computers

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