Architecture

Algorithm–Architecture Co-Design for Vertically Integrated AI and HPC Systems: Challenges, Advantages, and Future Outlook

Algorithm–Architecture Co-Design for Vertically Integrated AI and HPC Systems: Challenges, Advantages, and Future Outlook 150 150

Abstract:

Next-generation scientific instruments in high-energy physics, X-ray imaging, fusion diagnostics, and other data-intensive applications generate data rates that increasingly exceed practical communication bandwidth and power budgets, making the traditional approach of transferring raw data to remote computing systems unsustainable. This paper presents the Vertically Integrated AI for Sensing and High-Performance …

View on IEEE Xplore

A Runtime Reconfigurable Array (RTRA) for Multiprogram ML and DSP Acceleration With Hierarchical Partitioning and On-Chip Multilevel Scheduling

A Runtime Reconfigurable Array (RTRA) for Multiprogram ML and DSP Acceleration With Hierarchical Partitioning and On-Chip Multilevel Scheduling 150 150

Abstract:

Emerging applications with highly dynamic digital signal processing (DSP) and machine-learning (ML) workloads demand a hardware platforms that simultaneously deliver high performance, high energy efficiency, and low-latency reconfiguration. Such systems must adapt to evolving algorithms, variable data rates, and multiprogram tenancy without incurring prohibitive switching overhead. The conventional reconfigurable architectures …

View on IEEE Xplore

QEPC: Deferred-Evaluation Probabilistic Computing for Wearable AI — Architecture, Simulation Study, and Design Limits

QEPC: Deferred-Evaluation Probabilistic Computing for Wearable AI — Architecture, Simulation Study, and Design Limits 150 150

Abstract:

Wearable AI workloads such as sensor fusion, physiological inference and uncertainty quantification are probabilistic, yet the neural processing units that serve them are deterministic matrix-multiply engines that discard distributional information at every layer. We describe QEPC, a deferred-evaluation execution model in which probability mass functions are maintained in non-volatile state …

View on IEEE Xplore

A Modeling/Rendering Unified 3DGS Processor Based on Locality-Optimized Computation and Reconfigurable Architecture

A Modeling/Rendering Unified 3DGS Processor Based on Locality-Optimized Computation and Reconfigurable Architecture 150 150

Abstract:

Traditional 3-D Gaussian-splatting (3DGS) modeling relies on iterative optimization, leading to substantial latency and limited generalizability. Feedforward 3DGS alleviates these limitations by generating Gaussians through a single network inference. However, most existing processors are optimized for optimization-based 3DGS and do not fully exploit the distinct computational characteristics of feedforward 3DGS. …

View on IEEE Xplore

3D-Integrated Near-Sensor AI for Energy-Constrained Environmental Monitoring Systems

3D-Integrated Near-Sensor AI for Energy-Constrained Environmental Monitoring Systems 150 150

Abstract:

Moving sensor data and neural-network operands through conventional external-memory hierarchies can constitute a substantial fraction of the energy required for edge inference. Motivated by a three-tier near-sensor organization, this work evaluates memory localization using a controlled architecture-level study and an independent transistor-level communication-link analysis. Five convolution configurations are evaluated on …

View on IEEE Xplore

A Fully Integrated Wireless Multimodal Biosensing System-on-Chip for Stress Monitoring

A Fully Integrated Wireless Multimodal Biosensing System-on-Chip for Stress Monitoring 150 150

Abstract:

A fully integrated multimodal biosensing system-on-chip (SoC) for stress monitoring is presented. The proposed SoC integrates electrocardiography (ECG), electrochemical (ECH), photoplethysmography (PPG), and galvanic skin response (GSR) sensing together with an on-chip transmitter (TX), wake-up receiver (WuRX), and power-management unit (PMU) for compact, standalone operation. ECG and ECH share a …

View on IEEE Xplore

An 8K-Spin Ising Machine IC With Reconfigurable Many-Body Spin Interactions and 1-D Multi-Chip Scalability

An 8K-Spin Ising Machine IC With Reconfigurable Many-Body Spin Interactions and 1-D Multi-Chip Scalability 150 150

Abstract:

Combinatorial optimization problems (COPs) have attracted growing interest in CMOS Ising machines as hardware accelerators for near-optimal solution search. However, practical large-scale COP solving remains challenging because existing CMOS Ising machines face substantial preprocessing overhead for irregular or higher order problems and are limited in scalability beyond a single chip. …

View on IEEE Xplore

A 50-Gb/s Baud-Rate Burst-Mode Receiver Using a Phase Uncertainty Reduction Scheme Achieving 8-ns Phase Locking for 50G-PON in 28-nm CMOS

A 50-Gb/s Baud-Rate Burst-Mode Receiver Using a Phase Uncertainty Reduction Scheme Achieving 8-ns Phase Locking for 50G-PON in 28-nm CMOS 150 150

Abstract:

This article presents a 50-Gb/s baud-rate burst-mode receiver (BMRX) for 50G-PON. A phase uncertainty reduction (PUR) scheme is proposed to narrow the maximum phase search range from 1 unit interval (UI) to 0.5 UI, thereby reducing the phase locking overhead while preserving low power consumption. To maintain robust burst acquisition across …

View on IEEE Xplore

A 10-bit Source-Driver IC for High-Resolution OLED-on-Silicon Displays With All-Channel Automatic Offset Calibration and Data-Aware Slew-Rate Enhancement

A 10-bit Source-Driver IC for High-Resolution OLED-on-Silicon Displays With All-Channel Automatic Offset Calibration and Data-Aware Slew-Rate Enhancement 150 150

Abstract:

This article presents a 10-bit source-driver (SD) IC for high-resolution OLED-on-silicon (OLEDoS) microdisplays in augmented reality (AR)/virtual reality (VR) applications. To address the stringent constraints of aggressive area scaling, sub-microsecond settling time, and high output uniformity, three key techniques are proposed. First, a demultiplexer (DEMUX)-based channel width expansion …

View on IEEE Xplore