Hardware and Architecture papers
Pofolia’s corpus holds 97 papers from Hardware and Architecture (2012–2026), each with a short summary. Below, the 20 most-cited, then the most recently added.
At a glance
- Most cited: fastp: an ultra-fast all-in-one FASTQ preprocessor (2018, 30,201 citations).
- The 20 papers listed have 91,857 citations between them.
- 6 of the 6 with a known journal quartile appeared in a Q1 journal.
- 10 have a free full text (open access).
- Most frequent journals: arXiv (Cornell University), ACM Computing Surveys, ACM SIGARCH Computer Architecture News.
- Published between 2012 and 2024.
Most cited
Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”. How to read the signals
fastp: an ultra-fast all-in-one FASTQ preprocessor
Bioinformatics · 2018 · Q1 · SJR 2.00 · FWCI 837.78 · 30,201 citations · Open access
A new C++-based tool called fastp has been developed to perform quality control and preprocessing of FASTQ files, integrating multiple operations into a single scan.
PyTorch: An Imperative Style, High-Performance Deep Learning Library
arXiv (Cornell University) · 2019 · 16,191 citations · Open access
PyTorch demonstrates that deep learning frameworks can achieve both usability and high performance, offering an imperative, Pythonic style that simplifies debugging and integration while efficiently utilizing hardware accelerators like GPUs.
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
arXiv (Cornell University) · 2016 · 9,793 citations · Open access
TensorFlow is a new open-source interface and implementation for expressing and executing machine learning algorithms across diverse hardware, from mobile devices to large-scale distributed systems.
TensorFlow: A system for large-scale machine learning
arXiv (Cornell University) · 2016 · 8,829 citations · Open access
TensorFlow is a new machine learning system designed for large-scale, heterogeneous environments, utilizing dataflow graphs to represent computation and operations across multiple machines and devices like CPUs, GPUs, and TPUs.
Julia: A Fresh Approach to Numerical Computing
SIAM Review · 2017 · Q1 · SJR 2.00 · FWCI 358.65 · 6,330 citations
Julia is a new programming language designed to be both easy to use and fast, challenging the long-held belief that high-level dynamic programs must be slow.
In-Datacenter Performance Analysis of a Tensor Processing Unit
2017 · 4,441 citations
A custom ASIC, the Tensor Processing Unit (TPU), deployed in datacenters since 2015, accelerates neural network inference, achieving 15x-30x speedup and 30x-80x higher TOPS/Watt compared to contemporary CPUs and GPUs.
The nesC language
ACM SIGPLAN Notices · 2014 · FWCI 85.38 · 1,653 citations
nesC is a new programming language designed specifically for networked embedded systems, such as sensor networks, addressing their unique constraints of low power and memory.
Numba
2015 · 1,518 citations
Numba is a just-in-time compiler for Python that translates a subset of the language into efficient machine code for scientific and array-oriented computing.
Revolutionizing Supply Chain Management: Real-time Data Processing and Concurrency
International Journal of Innovative Science and Research Technology (IJISRT) · 2024 · FWCI 565.18 · 1,322 citations · Open access
This paper introduces a novel supply chain management system using Kafka for event streaming and Akka for concurrent applications to enhance data integration and real-time decision-making.
In-Datacenter Performance Analysis of a Tensor Processing Unit
ACM SIGARCH Computer Architecture News · 2017 · FWCI 174.38 · 1,317 citations · Open access
A custom Tensor Processing Unit (TPU) deployed in datacenters since 2015 offers a 15x-30x performance improvement and 30x-80x higher TOPS/Watt compared to contemporary CPUs and GPUs for neural network inference.
Physical Unclonable Functions and Applications: A Tutorial
Proceedings of the IEEE · 2014 · Q1 · SJR 5.00 · FWCI 82.15 · 1,307 citations · Open access
This tutorial introduces Physical Unclonable Functions (PUFs) as a low-cost alternative to conventional secure memories for authentication and key generation.
Introduction to Embedded Systems - A Cyber-Physical Systems Approach
2013 · FWCI 143.51 · 1,179 citations
This book introduces embedded systems, the ubiquitous, less visible computers controlling physical processes in everything from cars to cell phones, using a cyber-physical systems approach.
A Survey of Techniques for Approximate Computing
ACM Computing Surveys · 2016 · Q1 · SJR 5.00 · FWCI 150.77 · 1,042 citations
This survey categorizes and analyzes various techniques for approximate computing, which sacrifices computation quality for efficiency, highlighting its growing necessity due to increasing performance demands and limited resources.
Theano: new features and speed improvements
arXiv (Cornell University) · 2012 · 1,040 citations · Open access
Theano, a linear algebra compiler, has been updated with new features and significant speed enhancements.
cuDNN: Efficient Primitives for Deep Learning
arXiv (Cornell University) · 2014 · 1,028 citations · Open access
A new library, cuDNN, provides optimized routines for deep learning computational kernels, analogous to BLAS for HPC, to address the challenge of reoptimizing code for evolving parallel architectures.
Industrie 4.0: Hit or Hype? [Industry Forum]
IEEE Industrial Electronics Magazine · 2014 · Q1 · SJR 1.00 · FWCI 71.54 · 981 citations
Industrie 4.0, a concept for the fourth industrial revolution, is often understood as applying cyber-physical systems to industrial production, but its broad definitions and overambitious marketing have caused confusion.
Algorithms+Data Structures = Programs
Cambridge University Press eBooks · 2024 · FWCI 9.50 · 962 citations
This undergraduate textbook for CS2 courses offers a hands-on approach to mastering fundamental programming skills, data structures, and algorithms.
Chisel
2012 · 911 citations
Chisel is a new hardware construction language embedded in Scala, enabling advanced hardware design through parameterized generators and layered domain-specific languages.
Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS
The Journal of Chemical Physics · 2020 · Q1 · FWCI 58.28 · 910 citations · Open access
GROMACS now efficiently utilizes both GPUs and CPUs for molecular dynamics simulations through a novel heterogeneous parallelization strategy, significantly accelerating computations.
Security and privacy challenges in industrial internet of things
2015 · 902 citations
Industrial IoT systems, crucial for applications like critical infrastructure and modern vehicles, generate vast amounts of sensitive data, making them prime targets for cyberattacks that can cause physical damage and endanger lives.
Recently added
Multi-Scale Temporal Convolution with Attention Mechanism for Hardware Trojan Detection
ACM Transactions on Design Automation of Electronic Systems · 2026 · Q2
A new semi-supervised model, STAD, uses multi-scale temporal convolutions and attention to detect stealthy instruction-activated hardware Trojans, outperforming existing methods by better separating normal noise from faint Trojan signals.
ADEM: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow and Efficient Merging
ACM Transactions on Architecture and Code Optimization · 2026 · Q2
ADEM, a new SpMSpM accelerator, achieves average speedups of 1.25x (VGG-16), 1.73x (ResNet-50), and 1.16x (SuiteSparse) by employing adaptive dataflow and efficient merging techniques.
Fingerprint-Expanding Gaussian Transistors for Compact Physical Unclonable Functions
ACS Nano · 2026 · Q1 · SJR 4.00
A novel Fingerprint-Expanding Gaussian (FEG) transistor design uses IGZO/DNTT heterojunctions to generate multiple, bias-addressable entropy features within a single device, significantly increasing fingerprint capacity.
White-Box Tweakable Block Cipher and Hardware-Binding Scheme Under Tweak-Unique Mode
Information · 2026 · Q2
This paper formalizes white-box tweakable block ciphers and introduces a tweak-binding property, proving that strong tweakable pseudo-random permutation security implies tweak-binding, a key for hardware-binding.
Gradient-free method for multiple soft-fault diagnosis in linear analog circuits
Scientific Reports · 2026 · Q1 · Open access
A novel gradient-free method combines deflation with the Nelder-Mead algorithm to identify multiple soft faults in linear analog circuits without time-consuming sensitivity analyses.
Rethinking LLM-aided RTL Code Optimization Via Timing Logic Metamorphosis
ACM Transactions on Reconfigurable Technology and Systems · 2026 · Q2
LLM-aided RTL code optimization shows effectiveness for logic operations and datapaths, achieving lower area/wire counts with stable delays, but limited gains and increased errors for complex timing control flow and clock domains.
GPU-Accelerated Gate-Level Time-Based Power Analysis via Event-Density-Aware Partitioning and Kernel Fusion
ACM Transactions on Architecture and Code Optimization · 2026 · Q2
A novel GPU-accelerated framework achieves up to 37.63x speedup for gate-level time-based power analysis, crucial for modern chip design.
Runtime Firmware Update for 32-Bit Microcontrollers with Instruction Cache Under Concurrent Task Execution
Sensors · 2026 · Q1
A new runtime firmware update mechanism for 32-bit embedded systems allows dynamic reprogramming without reboot, preserving concurrent task execution for intelligent sensors and IoT devices.
Journals in this field
The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?
| Journal | Quartile | SJR | h-index | In this field | Summaries |
|---|---|---|---|---|---|
| Proceedings of the IEEE | Q1 | 5.00 | 352 | 4 | 17 |
| ACM Transactions on Design Automation of Electronic Systems | Q2 | — | 61 | 3 | 3 |
| ACM Transactions on Architecture and Code Optimization | Q2 | — | 50 | 3 | 3 |
| ACM Computing Surveys | Q1 | 5.00 | 260 | 2 | 17 |
| Advanced Functional Materials | Q1 | 5.00 | 459 | 2 | 21 |
| IEEE Micro | Q1 | 1.00 | 111 | 2 | 3 |
| Sensors | Q1 | — | 303 | 2 | 23 |
| Scientific Reports | Q1 | — | 382 | 2 | 170 |
Every journal in Hardware and Architecture (Q1–Q4) →
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