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Transactions on Architecture and Code Optimization
H-index 16

Transactions on Architecture and Code Optimization

1544-3566

Published by: ACM

https://dl.acm.org/journal/taco

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 349 102 140 16

Additional Metrics

Number of Best Scientists*: 118
Documents by Best Scientists*: 151
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 47
SCIMAGO SJR: 0.58
Impact Factor: 1.8

Overview

Top Research Topics at ACM Transactions on Architecture and Code Optimization?

The foci of the journal are Parallel computing, Cache, Compiler, Embedded system and Distributed computing. It addresses concerns in Parallel computing which are intertwined with other disciplines, such as Scalability, Thread (computing) and Scheduling (computing). ACM Transactions on Architecture and Code Optimization is concerned with the study of Cache and Operating system in general.

The journal facilitates discussions on Compiler that incorporate concepts from other fields like Code generation, Code (cryptography) and Benchmark (computing). ACM Transactions on Architecture and Code Optimization explores topics in Embedded system which can be helpful for research in disciplines like Dram, Software, Efficient energy use and Energy consumption. The research on Cache pollution featured in it combines topics in other fields like Smart Cache and Cache invalidation.

Many of the studies tackled connect Cache coloring with a similar field of study like Page cache.

  • Parallel computing (46.77%)
  • Cache (16.85%)
  • Compiler (16.57%)

What are the most cited papers published in the journal?

  • Temperature-aware microarchitecture: Modeling and implementation (697 citations)
  • An Evaluation of High-Level Mechanistic Core Models (185 citations)
  • Design of the Java HotSpot™ client compiler for Java 6 (152 citations)

Research areas of the most cited articles at ACM Transactions on Architecture and Code Optimization:

Parallel computing, Compiler, Embedded system, Multi-core processor and Operating system are the main subjects of interest in the published articles. The journal articles facilitate discussions on Parallel computing that incorporate concepts from other fields like Thread (computing) and Code (cryptography). The published articles deal with Embedded system in conjunction with Dram and similar fields in Efficient energy use.

What topics the last edition of the journal is best known for?

  • Operating system
  • Programming language
  • Central processing unit

The previous edition focused in particular on these issues:

The journal is organized to address concerns in the fields of Parallel computing, Cache, Embedded system, Compiler and Speedup. The study on Parallel computing featured in the journal expounds on the topic of CPU cache in particular. While Cache is the key highlight in it, it also covered some subjects on Distributed computing and CAS latency, Persistent data structure, Software transactional memory and Database transaction.

Embedded system research featured in ACM Transactions on Architecture and Code Optimization incorporates concerns from various other topics such as Dram, Register file, Pipeline (computing), Software and Computer data storage. Issues in Compiler were discussed, taking into consideration concepts from other disciplines like Constant (computer programming), Set (abstract data type), Programming idiom and Code (cryptography). The work on Speedup tackled in ACM Transactions on Architecture and Code Optimization brings together disciplines like Scalability, Computer hardware, CUDA and Key (cryptography).

The most cited articles from the last journal are:

  • On the Anatomy of Predictive Models for Accelerating GPU Convolution Kernels and Beyond (3 citations)
  • PAVER: Locality Graph-Based Thread Block Scheduling for GPUs (2 citations)
  • Performance Evaluation of Intel Optane Memory for Managed Workloads (2 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in ACM Transactions on Architecture and Code Optimization (based on the number of publications) are:

  • Lieven Eeckhout (18 papers) published 1 paper at the last edition,
  • Hai Jin (12 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • André Seznec (11 papers) absent at the last edition,
  • Yuan Xie (11 papers) absent at the last edition,
  • Jingling Xue (10 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in ACM Transactions on Architecture and Code Optimization (based on the number of publications) are:

  • Intel (42 papers) published 2 papers at the last edition,
  • Ghent University (22 papers) published 1 paper at the last edition,
  • University of Edinburgh (21 papers) published 3 papers at the last edition,
  • IBM (20 papers) published 1 paper at the last edition,
  • Georgia Institute of Technology (19 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 2.08% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.28% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.77% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.02% of all publications and 48.94% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Paths in Applied Computing: Becoming a Preschool Teacher Assistant

After acquiring strong fundamentals in computing through studies and research on the fascinating topics covered in ACM Transactions on Architecture and Code Optimization, many graduates and professionals often seek avenues to apply these skills practically in various career paths. One such pathway where the knowledge of computing can be extremely beneficial is in the realm of education - specifically, early childhood education. For instance, becoming a preschool teacher assistant is a viable option that combines working with young minds and employing technology to create a more enriched learning environment. A preschool teacher assistant does not only contribute towards shaping the educational foundation of young minds but also employs modern technology tools, such as educational software and hardware, to make learning interactive and engaging. If you are in New Hampshire, you can delve into the steps, qualifications, and experiences required on how to become a preschool teacher assistant by checking out our guide. This comprehensive guide outlines the necessary steps for aspiring professionals in the field and provides insights from experienced preschool teacher assistants. In a rapidly changing society where technology is integral to our lives, applying computing knowledge across various fields is not only beneficial but can also open new avenues for personal and professional growth. By integrating such skills in roles, such as a preschool teacher assistant, you can contribute towards shaping a technologically savvy future generation.

Top Publications

  • Effective Loop Fusion in Polyhedral Compilation Using Fusion Conflict Graphs

    Aravind Acharya;Uday Bondhugula;Albert Cohen

    (2020)
    122 Citations
  • Compiler Support for Sparse Tensor Computations in MLIR

    Unknown

    (2022)
    73 Citations
  • Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications

    Unknown

    (2022)
    64 Citations
  • PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

    (2021)
    46 Citations
  • SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads

    Sam (Likun) Xi;Yuan Yao;Kshitij Bhardwaj;Paul Whatmough

    (2020)
    46 Citations
  • A Case For Intra-rack Resource Disaggregation in HPC

    (2022)
    34 Citations
  • Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Compiler for GPU-accelerated Climate Simulation

    Tobias Gysi;Christoph Müller;Oleksandr Zinenko;Stephan Herhut

    (2021)
    34 Citations
  • Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators

    (2021)
    29 Citations
  • Grus: Toward Unified-memory-efficient High-performance Graph Processing on GPU

    Pengyu Wang;Jing Wang;Chao Li;Jianzong Wang

    (2021)
    25 Citations
  • ArmorAll: Compiler-based Resilience Targeting GPU Applications

    Charu Kalra;Fritz Previlon;Norm Rubin;David Kaeli

    (2020)
    21 Citations

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