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Volume 29, Issue 4July 2024Current IssueIssue-in-Progress
Bibliometrics
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SECTION: Survey Paper
survey
Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect
Article No.: 59, Pages 1–42https://doi.org/10.1145/3661308

With the ever-increasing hardware design complexity comes the realization that efforts required for hardware verification increase at an even faster rate. Driven by the push from the desired verification productivity boost and the pull from leap-ahead ...

SECTION: Regular Papers
research-article
Open Access
CuPBoP: Making CUDA a Portable Language
Article No.: 60, Pages 1–25https://doi.org/10.1145/3659949

CUDA is designed specifically for NVIDIA GPUs and is not compatible with non-NVIDIA devices. Enabling CUDA execution on alternative backends could greatly benefit the hardware community by fostering a more diverse software ecosystem.

To address the need ...

research-article
Load Balanced PIM-Based Graph Processing
Article No.: 61, Pages 1–22https://doi.org/10.1145/3659951

Graph processing is widely used for many modern applications, such as social networks, recommendation systems, and knowledge graphs. However, processing large-scale graphs on traditional Von Neumann architectures is challenging due to the irregular graph ...

research-article
Modeling Retention Errors of 3D NAND Flash for Optimizing Data Placement
Article No.: 62, Pages 1–24https://doi.org/10.1145/3659101

Considering 3D NAND flash has a new property of process variation (PV), which causes different raw bit error rates (RBER) among different layers of the flash block. This article builds a mathematical model for estimating the retention errors of flash ...

research-article
Capacity-Aware Wash Optimization with Dynamic Fluid Scheduling and Channel Storage for Continuous-Flow Microfluidic Biochips
Article No.: 63, Pages 1–28https://doi.org/10.1145/3659952

Continuous-flow microfluidic biochips are gaining increasing attention with promising applications for automatically executing various laboratory procedures in biology and biochemistry. Biochips with distributed channel-storage architectures enable each ...

research-article
Open Access
Enhanced Watermarking for Paper-Based Digital Microfluidic Biochips
Article No.: 64, Pages 1–27https://doi.org/10.1145/3661309

Paper-based digital microfluidic biochip (PB-DMFB) technology provides a promising solution to many biochemical applications. However, the PB-DMFB manufacturing process may suffer from potential security threats. For example, a Trojan insertion attack may ...

research-article
A Scenario-Based DVFS-Aware Hybrid Application Mapping Methodology for MPSoCs
Article No.: 65, Pages 1–43https://doi.org/10.1145/3660633

Sound techniques for mapping soft real-time applications to resources are indispensable for meeting the application deadlines and minimizing objectives such as energy consumption, particularly on heterogeneous MPSoC architectures. For applications with ...

research-article
Semi-Permanent Stuck-At Fault injection attacks on Elephant and GIFT lightweight ciphers
Article No.: 66, Pages 1–32https://doi.org/10.1145/3662734

Fault attacks pose a potent threat to modern cryptographic implementations, particularly those used in physically approachable embedded devices in IoT environments. Information security in such resource-constrained devices is ensured using lightweight ...

research-article
A Single Bitline Highly Stable, Low Power With High Speed Half-Select Disturb Free 11T SRAM Cell
Article No.: 67, Pages 1–13https://doi.org/10.1145/3653675

A half-select disturb-free 11T (HF11T) static random access memory (SRAM) cell with low power, better stability and high speed is presented in this paper. The proposed SRAM cell works well with bit-interleaving design, which enhances soft-error immunity. ...

research-article
Open Access
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators
Article No.: 68, Pages 1–33https://doi.org/10.1145/3664652

Parameterizable machine learning (ML) accelerators are the product of recent breakthroughs in ML. To fully enable their design space exploration (DSE), we propose a physical-design-driven, learning-based prediction framework for hardware-accelerated deep ...

research-article
Open Access
Applying reinforcement learning to learn best net to rip and re-route in global routing
Article No.: 69, Pages 1–21https://doi.org/10.1145/3664286

Physical designers typically employ heuristics to solve challenging problems in global routing. However, these heuristic solutions are not adaptable to the ever-changing fabrication demands, and the experience and creativity of designers can limit their ...

research-article
A Cost-Driven Chip Partitioning Method for Heterogeneous 3D Integration
Article No.: 70, Pages 1–27https://doi.org/10.1145/3672558

Three-dimensional integration circuit (3D IC) offers significant benefits in terms of performance and cost. Existing research in through-silicon via (TSV)-based 3D IC partitioning has focused on minimizing the number of TSVs to reduce costs. Partitioning ...

research-article
Open Access
Removal of SAT-Hard Instances in Logic Obfuscation Through Inference of Functionality
Article No.: 71, Pages 1–23https://doi.org/10.1145/3674903

Logic obfuscation is a prominent approach to protect intellectual property within integrated circuits during fabrication. Many attacks on logic locking have been proposed, particularly in the Boolean satifiability (SAT) attack family, leading to the ...

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