ACM

ACM SIGSMALL/PC Notes Template

Write in a clean editor, then format for ACM SIGSMALL/PC Notes in one click — DocuGuru applies the official ACM template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the ACM SIGSMALL/PC Notes format

ACM SIGSMALL/PC Notes is a peer-reviewed journal published by ACM, covering Distributed and Parallel Computing Systems, Parallel Computing and Optimization Techniques, Advanced Database Systems and Queries.

PublisherACM
Reference styleNumbered (ACM)
Numbered — [1], [2] in the text
[1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGSMALL/PC Notes 12, 3, Article 45 (2023).

Formats any DOI in ACM SIGSMALL/PC Notes style. No sign-up.

Publishes research inDistributed and Parallel Computing Systems Parallel Computing and Optimization Techniques Advanced Database Systems and Queries Distributed systems and fault tolerance Numerical Methods and Algorithms
ISSN0893-2875
h-index4
i10-index3
Total citations113
Top institutions publishing hereKansas State University
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in ACM SIGSMALL/PC Notes per year

10
1985
21
1986
18
1987
17
1988
18
1989
16
1990
43
1991
15
1992
7
1993

Citation impact of ACM SIGSMALL/PC Notes by publication year

10
1985
5
1986
8
1987
8
1988
41
1989
2
1990
22
1991
14
1992
3
1993

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in ACM SIGSMALL/PC Notes

Artificial neural network technology

Bokyeong Yoon · 1 Aug 1989

The Defense Advanced Research Projects Agency (DARPA) has initiated a major new program in Artificial Neural Network Technology. This technology may lead to solution of complex information processing and autonomous control problems (including problems that require real-time processing and response) that have persistently evaded solution by conventional techniques. If its promise can be realized, artificial…

Performance comparison of extendible hashing and linear hashing techniques

Ashok Rathi, Huizhu Lu, G. E. Hedrick · 1 Jun 1991

Based on seven assumptions, the following comparison factors are used to compare the performance of linear hashing with extendible hashing: 1. storage utilization; 2. average unsuccessful search cost; 3. average successful search cost; 4. split cost; 5. insertion cost; 6. number of overflow buckets. The simulation is conducted with the bucket sizes of 10, 20,…

Characteristics of files in NFS environments

J. Michael Bennett, Michael Bauer, David Kinchlea · 1 Dec 1992

As local area networks of workstations and file servers grow, the management of user and system files becomes increasingly more challenging for system administrators. In order to develop effective management tools for these administrators, the nature of files in workstation environments must be understood. This paper presents a static analysis of file usage patterns of…

IMCL language and its implementation on the personal computer

Peter Kokol, B. Vucelic, Marjan Mernik et al. · 1 Nov 1988

The use of traditional industrial controllers has been a common practice for successfully controlling processes in industrial plants for a long time. However, these old-fashioned controllers (Figure 1) are unfortunately inflexible and much too slow and unreliable for critical applications, and not "user friendly." Still worse, programming them is tedious, lengthy and difficult. LSI and…

An office specification language based on path expressions

S. Ronzani, Francesco Tisato, Roberto V. Zicari · 1 Oct 1985

I enclose a paper by Drs. Ronzani, Tisato, and Zicari of Milan. It was accepted for presentation at the recent SIGSMALL conference; unfortunately, we were unable to include it in the Proceedings. I would greatly appreciate it if you could publish this paper in the earliest convenient issue of the SIGSMALL Newsletter.

ACM SIGSMALL/PC Notes template — frequently asked questions

How do I write a paper in the ACM SIGSMALL/PC Notes format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the ACM SIGSMALL/PC Notes template. When you export, DocuGuru compiles the paper into the official ACM format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does ACM SIGSMALL/PC Notes use?
ACM SIGSMALL/PC Notes uses Numbered (ACM) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGSMALL/PC Notes 12, 3, Article 45 (2023).
Do I need to know LaTeX to submit to ACM SIGSMALL/PC Notes?
No. DocuGuru generates the acmart LaTeX class and compiles the PDF for you in the background, so you get a ACM-ready ACM SIGSMALL/PC Notes document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the ACM SIGSMALL/PC Notes template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the ACM SIGSMALL/PC Notes format with correct headings, figures, tables, and numbered citations.
Who publishes ACM SIGSMALL/PC Notes?
ACM SIGSMALL/PC Notes is a engineering and computer science journal published by ACM. DocuGuru's ACM SIGSMALL/PC Notes template matches ACM's official submission format.
Can I export a submission-ready ACM SIGSMALL/PC Notes PDF?
Yes — DocuGuru produces a PDF built with the official ACM SIGSMALL/PC Notes template (the acmart class) that is ready to submit to ACM, together with the matching LaTeX source files.
How much does the ACM SIGSMALL/PC Notes template cost?
You can start writing in the ACM SIGSMALL/PC Notes template for free. Exporting the final submission-ready ACM SIGSMALL/PC Notes PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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