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Imaging mass spectrometry (IMS) technologies are capable of mapping a wide array of biomolecules in diverse cellular and tissue environments. IMS has emerged as an essential tool for providing spatially targeted molecular information due to its high sensitivity, wide molecular coverage and chemical specificity. One of the major challenges for mapping the complex cellular milieu is the presence of many isomers and isobars present in these samples. This challenge is traditionally addressed using orthogonal LC-based analysis, though, common approaches such as chromatography and electrophoresis are not able to be performed at timescales that are compatible with most imaging applications. Ion mobility offers rapid, gas-phase separations that are readily integrated with IMS workflows in order to provide additional data dimensionality that can improve signal-to-noise, dynamic range, and specificity. Here, we highlight recent examples of ion mobility coupled to imaging mass spectrometry and highlight their importance to the field.
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This content will become publicly available on March 3, 2026
A Survey on Heterogeneous Computing Using SmartNICs and Emerging Data Processing Units (Expanded Preprint)
The emergence of new, off-path smart network cards (SmartNICs), known generally as Data Processing Units (DPU), has opened a wide range of research opportunities. Of particular interest is the use of these and related devices in tandem with their host’s CPU, creating a heterogeneous computing system with new properties and strengths to be explored, capable of accelerating a wide variety of workloads. This survey begins by providing background information to this new field, such as discussing its origins, its motivations and challenges, listing a few of the current market offerings for DPUs, and providing some brief information about the major programming languages and frameworks for using them. Then, we review and categorize a number of recent works in the field, covering a wide variety of studies, benchmarks, and application areas such as in data center infrastructure, commercial uses, and AI and ML acceleration.
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- Award ID(s):
- 2344578
- PAR ID:
- 10582388
- Publisher / Repository:
- arxiv
- Date Published:
- Subject(s) / Keyword(s):
- Data Processing Unit DPU SmartNIC Bluefield
- Format(s):
- Medium: X
- Institution:
- Missouri University of Science and Technology
- Sponsoring Org:
- National Science Foundation
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