Detailed Placement for Dedicated LUT-Level FPGA Interconnect

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Roughness, defined as unevenness of material surfaces, plays an important role in determining how engineering components or natural objects interact with other bodies and their environment. The emergence of fractal roughness on natural and engineered surfa ...

Since their inception more than thirty years ago, field-programmable gate arrays (FPGAs) have been widely used to implement a myriad of applications from different domains. As a result of their low-level hardware reconfigurability, FPGAs have much faster d ...

Computational models have been widely employed to study the electrical stimulation of the nervous system. Still, most applications either study fundamental mechanisms underlying stimulation, or address qualitative scientific questions. When quantitative qu ...

In this paper, we develop a new LUT-based optimization flow tailored for the synthesis of ASICs rather than FPGAs. We enhance LUT-mapping to consider the literal/AIG cost of LUT-nodes. We extend traditional Boolean methods to simplify and re-shape LUT-netw ...

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic large ...

Threshold Implementations have become a popular generic technique to construct circuits resilient against power analysis attacks.In this paper, we look to devise efficient threshold circuits for the lightweight block cipher family SKINNY. The only threshol ...

This paper proposes high-order accurate well-balanced (WB) energy stable (ES) adaptive moving mesh finite difference schemes for the shallow water equations (SWEs) with non flat bottom topography. To enable the construction of the ES schemes on moving mesh ...

The research community has been making significant progress in hardware implementation, numerical computing and algorithm development for optimization-based control. However, there are two key challenges that still have to be overcome for optimization-base ...

The increasing luminosity in HEP (High Energy Physics) colliders demands trigger systems to be more selective. First, more information from the detector is routed to the trigger system. Second, larger parts of this information are processed together. These ...

The pervasive adoption of field-programmable gate arrays (FPGAs) in both cyber-physical systems and the cloud has raised many security issues. Being integrated circuits, FPGAs are susceptible to fault and power side-channel attacks, which require physical ...

Intelligent fault diagnosis has been increasingly improved with the evolution of deep learning (DL) approaches. Recently, the emerging graph neural networks (GNNs) have also been introduced in the field of fault diagnosis with the goal to make better use o ...

Despite FPGAs rapidly evolving to support the requirements of the most demanding emerging applications, their high static power consumption, concentrated within the routing resources, still presents a major hurdle for low-power applications. Augmenting the ...

This work presents a graph neural network (GNN) framework for solving the maximum independent set (MIS) problem, inspired by dynamic programming (DP). Specifically, given a graph, we propose a DP-like recursive algorithm based on GNNs that firstly construc ...

In the localization game on a graph, the goal is to find a fixed but unknown target node v* with the least number of distance queries possible. In the j-th step of the game, the player queries a single node v_j and receives, as an answer to their query, th ...

We are used to defining network neutrality as absence of traffic differentiation, like policing or shaping. These mechanisms, however, are often not what determines end-users’ quality of experience (QoE). Most content today is accessed through edge caches, ...

Even if Dennard scaling came to an end fifteen years ago, Moore' s law kept fueling an exponential growth in compute performance through increased parallelization. However, the performance of memory and, in particular, Dynamic Random Access Memory (DRAM), ...

Traditional fiber scattering models, based on ray optics, are missing some important visual aspects of fiber appearance. Previous work [Xia et al. 2020] on wave scattering from ideal extrusions demonstrated that diffraction produces strong forward scatteri ...

The idea of introducing dedicated, fast paths between certain FPGA elements in order to reduce delay is neither new nor particularly hard to come up with. What is less obvious, however, is how to put such paths to actual use. In this work, we propose an ef ...

This keynote paper highlights the interaction between emerging technologies and software tools to enable the current evolution of electronic design automation systems. ...

We question the values that inform the artificial intelligence (AI) strategies developed by governments and institutions at the global level. In particular, we investigate the connection between governments? and institutions? fundamental values, second-ord ...

Detailed Placement for Dedicated LUT-Level FPGA Interconnect

Chattez avec Graph Search

How roughness emerges on natural and engineered surfaces

Synthesizing General-Purpose Code Into Dynamically Scheduled Circuits

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

LUT-Based Optimization For ASIC Design Flow

A Large-Scale Characterization of How Readers Browse Wikipedia

Improving First-Order Threshold Implementations of SKINNY

High-order accurate well-balanced energy stable adaptive moving mesh finite difference schemes for the shallow water equations with non-flat bottom topography

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

Low-Latency High-Bandwidth Circuit and System Design for Trigger Systems in High Energy Physics

Evaluating, Exploiting, and Hiding Power Side-Channel Leakage of Remote FPGAs

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

Shrinking FPGA Static Power via Machine Learning-Based Power Gating and Enhanced Routing

Maximum Independent Set: Self-Training through Dynamic Programming

Sequential metric dimension for random graphs

Caching and Neutrality

Miss-Optimized Memory Systems: Turning Thousands of Outstanding Misses into Reuse Opportunities

A Practical Wave Optics Reflection Model for Hair and Fur

Timing-Driven Placement for FPGA Architectures with Dedicated Routing Paths

Strange Loops in Design and Technology: 59th DAC Keynote Speech

Public Strategies for Artificial Intelligence: Which Value Drivers?