This paper presents a software ecosystem enabling consistent development environments for running workflows across diverse hardware platforms.

The paper introduces HORIZON, a self-evolving agent framework for hardware design using git operations.

The paper presents an initial implementation of a quantized, integer-only transformer for jet tagging on the AMD Versal AI Engine using a reusable software framework.

The paper introduces BLADEI, a hardware-accelerated framework that screens FPGA configuration bitstreams for anomalies in real-time, overcoming the latency bottleneck of traditional software-based det…

The paper introduces Chimera, a highly efficient and scalable MCU designed for ultra-low-power edge AI inference, achieving 3.1 TOPS/W by integrating a dedicated transformer accelerator and a QoS-guar…

Valinor is a hardware-OS cooperative memory allocation substrate that introduces a programmable hardware allocation engine for improving performance and reducing energy consumption in virtual-to-physi…

This paper presents a comprehensive survey on reconfigurable antennas for next-generation mobile networks, focusing on their potential and applications.

The paper proposes a highly reconfigurable 256x128 in-memory computing array that significantly improves efficiency and performance for analog computing by introducing novel components for ADC, weight…

This paper presents an open-source tool for generating efficient hardware parsers from high-level specifications using a decoupled parsing intermediate representation and custom symbolic tokens.

pcbGPT is a grounded system that automatically generates editable KiCad PCB schematics from natural language requirements, achieving high accuracy on complex embedded design tasks.

This paper presents FlexViT, a reconfigurable FPGA accelerator for efficient Vision Transformer (ViT) inference on edge devices, achieving up to 2.74x speedup on accelerator-executed layers.

This paper proposes a lightweight architectural enhancement for FPGA designs to improve data movement between block RAMs and digital signal processing units for deep learning workloads, incurring negl…

WASP is a configurable framework for stateful serverless execution on the edge-cloud continuum, allowing swapping of runtimes, datastores, and policies.

The paper introduces SPARROW, an autonomous, open-source platform that uses solar power, edge AI, and satellite communication to enable continuous, scalable biodiversity monitoring in remote global ec…

The paper introduces VHDLSuite, an infrastructure for evaluating Large Language Models in VHDL, including a data pipeline, benchmark, and evaluation framework.