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   Vosen_Callens, M; Anicha, C; Napoleon_Jr, L (September 2024, Feminist Pedagogy)

   Virtual or hybrid options provide a way for marginalized faculty and staff to fully participate in their fields and on their campuses. As such, an equitable and pandemic-informed academic workplace should include fully accessible and well-resourced hybrid participation options for department meetings and events, office work, and classroom duties. In spring 2023, we created a work group on our campus to address the challenges of hybrid work and co-create campus-wide recommendations for hybrid workspaces. In this article, we share our findings and evidence-based recommendations, many of which draw on Universal Design for Learning, as well as offer suggestions on how readers can pursue similar work on their campuses. 

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2. Perception of Space in Virtual and Augmented Reality

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3. Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory

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4. In-Place Zero-Space Memory Protection for CNN

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5. NetVRM: Virtual Register Memory for Programmable Networks

   Zhu, Hang; Wang, Tao; Hong, Yi; Ports, Dan R.; Sivaraman, Anirudh; Jin, Xin (April 2022, 19th USENIX Symposium on Networked Systems Design and Implementation)

   Programmable networks are enabling a new class of applications that leverage the line-rate processing capability and on-chip register memory of the switch data plane. Yet the status quo is focused on developing approaches that share the register memory statically. We present NetVRM, a network management system that supports dynamic register memory sharing between multiple concurrent applications on a programmable network and is readily deployable on commodity programmable switches. NetVRM provides a virtual register memory abstraction that enables applications to share the register memory in the data plane, and abstracts away the underlying details. In principle, NetVRM supports any memory allocation algorithm given the virtual register memory abstraction. It also provides a default memory allocation algorithm that exploits the observation that applications have diminishing returns on additional memory. NetVRM provides an extension of P4, P4VRM, for developing applications with virtual register memory, and a compiler to generate data plane programs and control plane APIs. Testbed experiments show that NetVRM generalizes to a diverse variety of applications, and that its utility-based dynamic allocation policy outperforms static resource allocation. Specifically, it improves the mean satisfaction ratio (i.e., the fraction of a network application’s lifetime that it meets its utility target) by 1.6–2.2× under a range of workloads. 

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