Publications related to Array (data structure)

Succinct ordering and aggregation constraints in algebraic array theories

We discuss two extensions to a recently introduced theory of arrays, which are based on considerations coming from the model theory of power structures. First, we discuss how the ordering relation on the index set can be expressed succinctly by referring t ...

Elsevier Science Inc2024

On the symmetries in the dynamics of wide two-layer neural networks

Lénaïc Chizat

We consider the idealized setting of gradient flow on the population risk for infinitely wide two-layer ReLU neural networks (without bias), and study the effect of symmetries on the learned parameters and predictors. We first describe a general class of s ...

AMER INST MATHEMATICAL SCIENCES-AIMS2023

Light-Driven Thermo-Optical Effects in Nanoresonator Arrays

Giulia Tagliabue, Alfredo Angelo Luigi Naef, Ershad Mohammadi, Theodoros Tsoulos

Thermonanophotonics, that is the study of photothermal effects in optical nanoantennas, has recently attracted growing interest. In particular, going beyond thermoplasmonic designs, thermo-optical modulation of dielectric nanoantennas opens new opportuniti ...

WILEY-V C H VERLAG GMBH2023

Overflow-free compute memories for edge AI acceleration

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina

Compute memories are memory arrays augmented with dedicated logic to support arithmetic. They support the efficient execution of data-centric computing patterns, such as those characterizing Artificial Intelligence (AI) algorithms. These architectures can ...

2023

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina

By supporting the access of multiple memory words at the same time, Bit-line Computing (BC) architectures allow the parallel execution of bit-wise operations in-memory. At the array periphery, arithmetic operations are then derived with little additional o ...

2023

An end-to-end pipeline for historical censuses processing

Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer

Censuses are structured documents of great value for social and demographic history, which became widespread from the nineteenth century on. However, the plurality of formats and the natural variability of historical data make their extraction arduous and ...

2023

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, ...

2023

Pipelined Architecture for Soft-Decision Iterative Projection Aggregation Decoding for RM Codes

Alexios Konstantinos Balatsoukas Stimming, Yuqing Ren

The recently proposed recursive projection-aggregation (RPA) decoding algorithm for Reed-Muller codes has received significant attention as it provides near-ML decoding performance at reasonable complexity for short codes. However, its complicated structur ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

Christoph Koch, Peter Lindner, Zhekai Jiang, Sachin Basil John

We present Sudokube, a novel system that supports interactive speed querying on high-dimensional data using partially materialized data cubes. Given a storage budget, it judiciously chooses what projections to precompute and materialize during cube constru ...

Association for Computing Machinery2023

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Array (data structure)

Succinct ordering and aggregation constraints in algebraic array theories

On the symmetries in the dynamics of wide two-layer neural networks

Light-Driven Thermo-Optical Effects in Nanoresonator Arrays

Overflow-free compute memories for edge AI acceleration

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

An end-to-end pipeline for historical censuses processing

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

Fast correlation function calculator A high-performance pair-counting toolkit

Pipelined Architecture for Soft-Decision Iterative Projection Aggregation Decoding for RM Codes

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

Graph Chatbot

Chat with Graph Search

On the symmetries in the dynamics of wide two-layer neural networks

Overflow-free compute memories for edge AI acceleration

Pipelined Architecture for Soft-Decision Iterative Projection Aggregation Decoding for RM Codes

A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication

Light-Driven Thermo-Optical Effects in Nanoresonator Arrays

Succinct ordering and aggregation constraints in algebraic array theories

An end-to-end pipeline for historical censuses processing

Fast correlation function calculator A high-performance pair-counting toolkit

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference