7 papers
Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
Amirreza Yousefzadeh, Sameed Sohail, Ana Lucia Varbanescu
The rapid advancement of neuromorphic technology aims to address the memory wall challenge inherent in conventional von Neumann architectures. This paper critically examines curren…
Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs
Shaoshuai Du, Joze M. Rozanec, Andy Pimentel +1
Although recent generative models can produce time series with close marginal distributions, they often face a fundamental tension between preserving global temporal structure and…
Tide: A Customisable Dataset Generator for Anti-Money Laundering Research
Montijn van den Beukel, Jože Martin Rožanec, Ana-Lucia Varbanescu
The lack of accessible transactional data significantly hinders machine learning research for Anti-Money Laundering (AML). Privacy and legal concerns prevent the sharing of real fi…
Reducing Compute Waste in LLMs through Kernel-Level DVFS
Jeffrey Spaan, Kuan-Hsun Chen, Ana-Lucia Varbanescu
The rapid growth of AI has fueled the expansion of accelerator- or GPU-based data centers. However, the rising operational energy consumption has emerged as a critical bottleneck a…
InTreeger: An End-to-End Framework for Integer-Only Decision Tree Inference
Duncan Bart, Bruno Endres Forlin, Ana-Lucia Varbanescu +2
Integer quantization has emerged as a critical technique to facilitate deployment on resource-constrained devices. Although they do reduce the complexity of the learning models, th…
FPGA Innovation Research in the Netherlands: Present Landscape and Future Outlook
Nikolaos Alachiotis, Sjoerd van den Belt, Steven van der Vlugt +10
FPGAs have transformed digital design by enabling versatile and customizable solutions that balance performance and power efficiency, yielding them essential for today's diverse co…