Articles

To Cross, or Not to Cross Pages for Prefetching?

Despite processor vendors reporting that cache prefetchers operating with virtual addresses are permitted to cross page boundaries, academia is focused on optimizing cache prefetching for patterns within page boundaries. This work reveals that page-cross prefetching at the first-level data cache...

AP cooperation in Wi-Fi: Joint transmission with a novel precoding scheme, resilient to phase offsets between transmitters

Multi Access-Point (M-AP) cooperation is expected to play a key role in the next-generation Wi-Fi standard (namely the upcoming IEEE WLAN 802.11bn/UHR, dubbed Wi-Fi-8), particularly in dense deployments where inter-cell interference hinders further increase in network capacity. Among the various...

Universal Virtual Lab for Fast and Accurate Performance Assessments in Nonlinear DWDM Systems with Digital Subcarrier Multiplexing

An extended Universal Virtual Lab method is presented for performance assessments of nonlinear DWDM links using 800 Gb/s digital subcarrier multiplexed channels, while accounting for NLIN correlation properties, Tx\Rx imperfections and adaptive equalization algorithms. We report accuracy errors below 0.08...

Israeli Systems Workshop – September 25, 2024 Accepted Posters

We are delighted to announce the posters that have been accepted to the Israeli Systems Workshop 2024

Cheap & Fast File-aaS for AI by Combining Scale-out Virtiofs, Block layouts and Delegations

File service Supply & Demand forces are changing: on the demand side, AI has significantly increased single-tenant File-aaS performance requirements.

AP cooperation in Wi-Fi: Joint transmission with a novel precoding scheme, resilient to phase offsets between transmitters

Multi Access-Point (M-AP) cooperation is expected to play a key role in the next-generation Wi-Fi standard (namely the upcoming IEEE WLAN 802.11bn/UHR, dubbed Wi-Fi-8), particularly in dense deployments where inter-cell interference hinders further increase in network capacity.

Active Learning via Predictive Normalized Maximum Likelihood Minimization

Machine learning systems require massive amounts of labeled training data in order to achieve high accuracy rates. Active learning uses feedback to label the most informative data points and significantly reduce the training set size. 

A Balanced Distributed Cascode Power Amplifier With an Integrated Chebyshev Load Balancer for Full-Duplex Wireless Operation

This work proposes a fully integrated transmitter front end based on a balanced distributed cascode power amplifier (BDC-PA) and a passive second-order reconfigurable reflective self-interference cancellation (SIC) filter for full-duplex wireless applications. The balanced topology provides inherent passive transmit–receive (TX–RX)...

Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?

Text-image retrieval (T2I) refers to the task of recovering all images relevant to a keyword query. Popular datasets for text-image retrieval, such as Flickr30k, VG, or MS-COCO, utilize annotated image captions, e.g., “a man playing with a kid”, as a...