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20242026
most citedHey AI, Generate Me a Hardware Code! Agentic AI-based Hardware Design & Verification

10 citations · 24 across the 14 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.AR2024

FuzzWiz -- Fuzzing Framework for Efficient Hardware Coverage

Deepak Narayan Gadde, Aman Kumar, Djones Lettnin +1

Ever-increasing design complexity of System-on-Chips (SoCs) led to significant verification challenges. Unlike software, bugs in hardware design are vigorous and eternal i.e., once…

cs.AI2024

Analogous Alignments: Digital "Formally" meets Analog

Hansa Mohanty, Deepak Narayan Gadde

The complexity of modern-day System-on-Chips (SoCs) is continually increasing, and it becomes increasingly challenging to deliver dependable and credible chips in a short time-to-m…

cs.AI2024★ 3 cited

Generative AI Augmented Induction-based Formal Verification

Aman Kumar, Deepak Narayan Gadde

Generative Artificial Intelligence (GenAI) has demonstrated its capabilities in the present world that reduce human effort significantly. It utilizes deep learning techniques to cr…

cs.AR2024

Towards Efficient Design Verification -- Constrained Random Verification using PyUVM

Deepak Narayan Gadde, Suruchi Kumari, Aman Kumar

Python, as a multi-paradigm language known for its ease of integration with other languages, has gained significant attention among verification engineers recently. A Python-based…

cs.AR2024★ 1 cited

Effective Design Verification -- Constrained Random with Python and Cocotb

Deepak Narayan Gadde, Suruchi Kumari, Aman Kumar

Being the most widely used language across the world due to its simplicity and with 35 keywords (v3.7), Python attracts both hardware and software engineers. Python-based verificat…

cs.AI2024★ 5 cited

Efficient Stimuli Generation using Reinforcement Learning in Design Verification

Deepak Narayan Gadde, Thomas Nalapat, Aman Kumar +3

The increasing design complexity of System-on-Chips (SoCs) has led to significant verification challenges, particularly in meeting coverage targets within a timely manner. At prese…

cs.LG2024

Improving Simulation Regression Efficiency using a Machine Learning-based Method in Design Verification

Deepak Narayan Gadde, Sebastian Simon, Djones Lettnin +1

The verification throughput is becoming a major challenge bottleneck, since the complexity and size of SoC designs are still ever increasing. Simply adding more CPU cores and runni…

cs.AI2024★ 1 cited

All Artificial, Less Intelligence: GenAI through the Lens of Formal Verification

Deepak Narayan Gadde, Aman Kumar, Thomas Nalapat +2

Modern hardware designs have grown increasingly efficient and complex. However, they are often susceptible to Common Weakness Enumerations (CWEs). This paper is focused on the form…