Concept
Ray-tracing hardware
Related publications (32)
SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs
David Atienza Alonso, Giovanni Ansaloni, José Angel Miranda Calero, Rubén Rodríguez Álvarez, Juan Pablo Sapriza Araujo, Benoît Walter Denkinger
Coarse-Grain Reconfigurable Arrays (CGRAs) represent emerging low-power architectures designed to accelerate Compute-Intensive Loops (CILs). The effectiveness of CGRAs in providing acceleration relies on the quality of mapping: how efficiently the CIL is c ...
2024Real-Time Localization for Closed-Loop Control of Assistive Furniture
Auke Ijspeert, Alexandre Massoud Alahi, Lixuan Tang, Anastasia Bolotnikova, Chuanfang Ning, George Adaimi
For people with limited mobility, navigating in cluttered indoor environment is challenging. In this work, we propose a mobile assistive furniture suite that is designed to ease the life of people with special needs in indoor movement. To enable intelligen ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023From the Graphical Processing Unit (GPU) to computing power: exploring the situated practices of liquid nitrogen overclocking
Drawing from a fieldwork conducted at COMPUTEX Taipei, one of the largest computer expo in the world, this contribution proposes to zoom-in at the level of Graphical Processing Units (GPU) manufacturers and their interactions with computer hardware hobbyis ...
2023BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
Pascal Fua, Sean Lewis Hill, Jiancheng Yang, Xiang Li, Amos Sironi, Jian Zhou, Jie Zhou, Siqi Liu
BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in m ...
NATURE PORTFOLIO2023Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis
In smart cities, ensuring road safety and optimizing transportation efficiency heavily relies on streamlined road condition monitoring. The application of Artificial Intelligence (AI) has notably enhanced the capability to detect road surfaces effectively. ...
London2023Efficient Analytical Query Processing on CPU-GPU Hardware Platforms
Timely insights lead to business growth and scientific breakthroughs but require analytical engines that cope with the ever-increasing data processing needs. Analytical engines relied on rapid CPU improvements, yet the end of Dennard scaling stopped the fr ...
EPFL2022Modified Joint Channel-and-Data Estimation for One-Bit Massive MIMO
Mahdi Amiri, Saeed Saadatnejad, Mohammadhossein Bahari
Centralized and cloud computing-based network architectures are the promising tracks of future communication systems where a large scale compute power can be virtualized for various algorithms. These architectures rely on high-performance communication lin ...
IEEE2021Training fully connected networks with resistive memories: impact of device failures
Giorgio Cristiano, Massimo Giordano, Martina Bodini
Hardware accelerators based on two-terminal non-volatile memories (NVMs) can potentially provide competitive speed and accuracy for the training of fully connected deep neural networks (FC-DNNs), with respect to GPUs and other digital accelerators. We rece ...
2019A Dynamically Reconfigurable Platform for High-Performance and Low-Power On-Board Processing
Paolo Ienne, Andrea Guerrieri, Sahand Kashani
FPGAs (Field Programmable Gate Array) are an attractive technology for high-speed data processing in space missions due to their unbeatable flexibility and best performance-to-power ratio in comparison to software. However FPGAs suffer from 3 major drawbac ...
IEEE2018Smart Camera Architectures for Wireless and Multi-Sensor Vision Applications
Advances in camera sensor technology and its manufacturing process now allow high quality image acquisition with low-cost devices. Moreover, the latest significant increase in computational capacity of the processing units enables incorporation of more com ...
EPFL2018