Concept
Von Neumann architecture
Related publications (82)
EdgeAI-Aware Design of In-Memory Computing Architectures
Driven by the demand for real-time processing and the need to minimize latency in AI algorithms, edge computing has experienced remarkable progress. Decision-making AI applications stand out for their heavy reliance on data-centric operations, predominantl ...
EPFL2024Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang, Qunyou Liu
The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...
2024Metal Circus: Abstraction and Method in Aldo Rossi’s Early Work
The essay focuses on the early work of Aldo Rossi, for the most part produced in collaboration with Gianugo Polesello, Luca Meda and Giorgio Grassi. In the early 1960s Rossi attempted to define a design method in which the juxtaposition of a limited set of ...
2023How to Achieve Large-Area Ultra-Fast Operation of MoS 2 Monolayer Flash Memories?
Aleksandra Radenovic, Andras Kis, Mukesh Kumar Tripathi, Zhenyu Wang, Asmund Kjellegaard Ottesen, Yanfei Zhao, Guilherme Migliato Marega, Hyungoo Ji
Memory devices have returned to the spotlight due to increasing interest in using in-memory computing architectures to make data-driven algorithms more energy-efficient. One of the main advantages of this architecture is the efficient performance of vector ...
2023Recent advances in magnonics
Dirk Grundler, Benedetta Flebus
Magnonics is an exciting and rapidly growing field revolving around the study and manipulation of magnons, the low-lying collective excitations of magnetically ordered systems. This field has emerged in response to both fundamental physics interests and th ...
2023Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics
Anastasia Ailamaki, Viktor Sanca
Modern data management systems aim to provide both cutting-edge functionality and hardware efficiency. With the advent of AI-driven data processing and the post-Moore Law era, traditional memory-bound scale-up data management operations face scalability ch ...
2023Acceleration of Control Intensive Applications on Coarse-Grained Reconfigurable Arrays for Embedded Systems
David Atienza Alonso, Miguel Peon Quiros, Benoît Walter Denkinger
Embedded systems confront two opposite goals: low-power operation and high performance. The current trend to reach these goals is toward heterogeneous platforms, including multi-core architectures with heterogeneous cores and hardware accelerators. The lat ...
2023Preconditioning techniques for generalized Sylvester matrix equations
Sylvester matrix equations are ubiquitous in scientific computing. However, few solution techniques exist for their generalized multiterm version, as they recently arose in stochastic Galerkin finite element discretizations and isogeometric analysis. In th ...
2023Territorial reading in Ukraine’s recovery policy: conceptual and methodological gaps
Approaches to Ukraine’s wartime and anticipated post-war reconstruction and recovery, united under a general slogan of ‘build back better’, are currently reflected in multiple policies, regulations, planning tools and data registers, as well as showcased t ...
2023IIBLAST: Speeding Up Commercial FPGA Routing by Decoupling and Mitigating the Intra-CLB Bottleneck
Mirjana Stojilovic, Stefan Nikolic, Shashwat Shrivastava
We identified that in modern commercial FPGAs, routing signals from the general interconnect to the configurable logic blocks (CLBs) through a very sparse input interconnect block (IIB) represents a significant runtime bottleneck. This is despite academic ...
2023