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Sophia Bhoria

dblp:440/7739 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0006-6960-3215ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 33% Storage systems · 33% Hardware accelerators and domain-specific architectures · 33%
Computer networks
1 paper
Software-defined and programmable networks · 50% Edge and fog computing · 50%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
approximate nearest neighbor search
1.012026
Performance Evaluation of Approximate Nearest Neighbor Search on NVIDIA BlueField-3 DPU · HPDC 2026
Performance modeling and evaluation
benchmarking
1.012026
Performance Evaluation of Approximate Nearest Neighbor Search on NVIDIA BlueField-3 DPU · HPDC 2026
Hardware accelerators and domain-specific architectures › domain-specific accelerator › data processing accelerator
data processing unit
1.012026
Performance Evaluation of Approximate Nearest Neighbor Search on NVIDIA BlueField-3 DPU · HPDC 2026
Edge and fog computing › mobile edge computing
computation offloading
0.312026
Performance Evaluation of Approximate Nearest Neighbor Search on NVIDIA BlueField-3 DPU · HPDC 2026
Software-defined and programmable networks › programmable network nodes
SmartNIC
0.312026
Performance Evaluation of Approximate Nearest Neighbor Search on NVIDIA BlueField-3 DPU · HPDC 2026

Methods — techniques the papers use, named apart from their topics

benchmarking · 2.0
YearPublicationVenuePosition
2026 Performance Evaluation of Approximate Nearest Neighbor Search on NVIDIA BlueField-3 DPU
abstract
Advanced SmartNICs known as Data Processing Units (DPU) enable in-network data analytics, being equipped with standard processors and accelerators capable of doing custom computation on-NIC. These SmartNICs are advantageous because the host CPU can delegate simpler data analytics tasks, like filtering, to the NIC where the data first arrives. Only data needing further refinement must be passed on to the host CPU. Our benchmarks focus on NVIDIA’s commercially available Bluefield-3 DPU.
Sophia Bhoria, Nathan Tibbetts, Arjun Kirubakaran, Alima Subedi, Satish Puri
HPDC1