Detailed Placement for Dedicated LUT-Level FPGA Interconnect

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In this work, we study online submodular maximization and how the requirement of maintaining a stable solution impacts the approximation. In particular, we seek bounds on the best-possible approximation ratio that is attainable when the algorithm is allowe ...

Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. Within the context of physics-inspired machine learning (ML) applied to chemistry, we demonstrate the relev ...

Many challenges of modern graph processing stem from the fact that graphs have become massive and change frequently. Numerous techniques have been developed to address those issues, with graph cut sparsification offering to replace original graphs with th ...

We describe a randomized algorithm for producing a near-optimal hierarchical off-diagonal low-rank (HODLR) approximation to an n × n matrix A, accessible only though matrix-vector products with A and AT. We prove that, for the rank-k HODLR approximation pr ...

This limitation is circumvented by using scalable and non–memory–intensive harmonic expansions. In this paper, the projection of parametric surfaces onto disk and spherical harmonics bases is investigated, and three novel computationally efficient algorith ...

SKIPTRAIN is a novel Decentralized Learning (DL) algorithm, which minimizes energy consumption in decentralized learning by strategically skipping some training rounds and substituting them with synchronization rounds. These trainingsilent periods, besides ...

We provide an exact deterministic reformulation for data-driven chance constrained programs over Wasserstein balls. For individual chance constraints as well as joint chance constraints with right-hand side uncertainty, our reformulation amounts to a mixed ...

The diffusion of energy technologies is key for supporting the energy transition. While social influence and peer effects have been extensively studied on the demand side and found to impact adoption, less focus has been given to the role of information ne ...

Reinforced concrete flat slabs consist of a continuous, thin concrete plate that rests on a grid of columns. The supporting surface of the columns is very small compared to the floor plan dimensions, leading to concentrations of shear forces near the colum ...

Introduction: Brain-inspired computing has become an emerging field, where a growing number of works focus on developing algorithms that bring machine learning closer to human brains at the functional level. As one of the promising directions, Hyperdimensi ...

Prequalified beam-to-column connections in steel moment resisting frames usually concentrate inelastic deformations in the steel beam ends. As such, nonlinear geo-metric instabilities (i.e., local buckling) may occur in these regions at modest lateral drif ...

Electronic devices play an irreplaceable role in our lives. With the tightening time to market, exploding demand for computing power, and continuous desire for smaller, faster, less energy-consuming, and lower-cost chips, computer-aided design for electron ...

Field-programmable gate arrays (FPGAs) combine hardware reconfigurability with a high degree of parallelism. Consequently, FPGAs offer performance gains and power savings for many applications. A recent trend has been to leverage the hardware versatility o ...

Model compression techniques have lead to a reduction of size and number of computations of Deep Learning models. However, techniques such as pruning mostly lack of a real co-optimization with hardware platforms. For instance, implementing unstructured pru ...

Since the birth of Information Theory, researchers have defined and exploited various information measures, as well as endowed them with operational meanings. Some were born as a "solution to a problem", like Shannon's Entropy and Mutual Information. Other ...

Three-Dimensional Multi-Processor Systems-on-Chip (3D MPSoCs) are promising solutions for highly intensive Artificial Intelligence (AI) and Big Data applications. They combine remarkably dense computation capabilities and massive communication bandwidths. ...

Animals are capable of evaluating sensory cues for possible threats and adapting their behaviours accordingly. Fear learning is an evolutionarily conserved behaviour crucial for animal survival, during which sensory percepts with a negative reinforcing qua ...

Novel applications have triggered significant changes at the system level of FPGA architecture design, such as the introduction of embedded VLIW processor arrays and hardened NoCs. However, the routing architecture of the soft logic fabric has largely rema ...

This paper presents a distributed shadow dynamic consensus (DSDC) framework to address the generation company (GENCO) strategic bidding problem in the independent system operator (ISO) operation. First, each sub-group is defined according to the communicat ...

Distributed energy resources (DERs) installed in active distribution networks (ADNs) can be exploited to provide both active and reactive power reserves to the upper-layer grid (i.e., sub-transmission and transmission systems) at their connection point. Th ...

Detailed Placement for Dedicated LUT-Level FPGA Interconnect

Chattez avec Graph Search

The Cost of Consistency: Submodular Maximization with Constant Recourse

Integer Linear Programming for Unsupervised Training Set Selection in Molecular Machine Learning

Graph sparsification, sketching and adaptivity

Near-optimal hierarchical matrix approximation from matrix-vector products

On the conjugate symmetry and sparsity of the harmonic decomposition of parametric surfaces with the randomised Kaczmarz method

Energy-Aware Decentralized Learning with Intermittent Model Training

Data-Driven Chance Constrained Programs over Wasserstein Balls

Diffusion of energy technologies: the role and dynamics of supply-side information networks

Shear and steel-fibre reinforcement for the punching resistance of flat slabs at internal and edge columns

Hyperdimensional computing with holographic and adaptive encoder

Geometric tolerances of welded connections with inelastic panel zones

Contemporary Logic Synthesis: with an Application to AQFP Circuit Optimization

DFAulted: Analyzing and Exploiting CPU Software Faults Caused by FPGA-Driven Undervolting Attacks

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

A Functional Perspective on Information Measures

Design and management of three-dimensional multi-processor systems-on-chip with integrated flow cell arrays

An insular cortex - lateral amygdala network in fear learning

NetCracker: A Peek into the Routing Architecture of Xilinx 7-Series FPGAs

Distributed Shadow Dynamic Consensus Optimization Framework for Power Market with Parameterization Bidding Strategy of GENCOs

Characterizing the Reserve Provision Capability Area of Active Distribution Networks: A Linear Robust Optimization Method