Neural Network-Based Thermal Simulation of Integrated Circuits on GPUs

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Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

Combining optical gain in direct-bandgap III-V materials with tunable optical feedback offered by advanced photonic integrated circuits is key to chip-scale external-cavity lasers (ECL), offering wideband tunability along with low optical linewidths. Exter ...

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Neural Network-Based Thermal Simulation of Integrated Circuits on GPUs

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Impact of Video Processing Operations in Deepfake Detection

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

Sub-kHz-Linewidth External-Cavity Laser (ECL) With Si3N4 Resonator Used as a Tunable Pump for a Kerr Frequency Comb

Prediction of mycotoxin response of DNA-wrapped nanotube sensor with machine learning

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Automatic and high-precision microseismic monitoring of progressive failure prior, during, and after tunnel excavation

Overflow-free compute memories for edge AI acceleration

Exploring brain-inspired multi-core heterogeneous hardware templates for low-power biomedical embedded systems

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-Constrained Cycles

Automatic and high-precision acoustic emission-based structural health monitoring of concrete structures

Instruction-Level Power Side-Channel Leakage Evaluation of Soft-Core CPUs on Shared FPGAs

Electronic readout of DNA amplification in nanoliter chambers. Strategies towards highly parallel semiconductor-based nucleic acid amplification testing

Interlocking modular microfluidic cooling substrates for future high energy physics experiments

Computational Imaging SPAD Cameras

Chaosity: Understanding Contemporary NUMA-architectures