Concept
FLOPS
Publications associées (32)
A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication
David Atienza Alonso, Giovanni Ansaloni, Grégoire Axel Eggermann, Marco Antonio Rios
State-of-the-art Artificial Intelligence (AI) algorithms, such as graph neural networks and recommendation systems, require floating-point computation of very large matrix multiplications over sparse data. Their execution in resource-constrained scenarios, ...
2023Reliable Microsecond-Scale Distributed Computing
The landscape of computing is changing, thanks to the advent of modern networking equipment that allows machines to exchange information in as little as one microsecond. Such advancement has enabled microsecond-scale distributed computing, where entire dis ...
EPFL2023Smart Sensor Buoys - Scalable Solution for Continuous and Flexible Water Monitoring
Within this paper an industry-driven insight to an environmental development project will be given. The approach offers the novel possibility to interconnect commercially available sensors to economic and high-performance floating platforms. Each platform ...
Paul Scherrer Institute, World Resources Forum2019Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks
Felix Schürmann, Michael Lee Hines, Bruno Ricardo Da Cunha Magalhães
Exposing parallelism in scientific applications has become a core requirement for efficiently running on modern distributed multicore SIMD compute architectures. The granularity of parallelism that can be attained is a key determinant for the achievable ac ...
IEEE2019A machine learning approach for power gating the FPGA routing network
Mirjana Stojilovic, Hossein Asadi
Power gating is a common approach for reducing circuit static power consumption. In FPGAs, resources that dominate static power consumption lie in the routing network. Researchers have proposed several heuristics for clustering multiplexers in the routing ...
IEEE COMPUTER SOC2019Design of approximate and precision-scalable circuits for embedded multimedia and neural-network processing
Density, speed and energy efficiency of integrated circuits have been increasing exponentially for the last four decades following Moore's law. However, power and reliability pose several challenges to the future of technology scaling. Approximate computin ...
EPFL2019