Search Results - "Iff, Patrick"
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HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement
Published in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09-07-2023)“…2.5D integration is an important technique to tackle the growing cost of manufacturing chips in advanced technology nodes. This poses the challenge of…”
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Conference Proceeding -
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Sparse Hamming Graph: A Customizable Network-on-Chip Topology
Published in 2023 60th ACM/IEEE Design Automation Conference (DAC) (09-07-2023)“…Chips with hundreds to thousands of cores require scalable networks-on-chip (NoCs). Customization of the NoC topology is necessary to reach the diverse design…”
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Conference Proceeding -
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RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures
Published 10-11-2023“…Chiplet architectures are a promising paradigm to overcome the scaling challenges of monolithic chips. Chiplets offer heterogeneity, modularity, and…”
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Journal Article -
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Near-Optimal Wafer-Scale Reduce
Published 24-04-2024“…HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing (2024) 334 - 347 Efficient Reduce and…”
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Journal Article -
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PolarFly: A Cost-Effective and Flexible Low-Diameter Topology
Published in SC22: International Conference for High Performance Computing, Networking, Storage and Analysis (01-11-2022)“…In this paper we present PolarFly, a diameter-2 network topology based on the Erdos-Renyi family of polarity graphs from finite geometry. This is the first…”
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Conference Proceeding -
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CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
Published 04-06-2024“…Large Language Models (LLMs) are revolutionizing various domains, yet verifying their answers remains a significant challenge, especially for intricate…”
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Journal Article -
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PolarFly: A Cost-Effective and Flexible Low-Diameter Topology
Published 02-05-2023“…In this paper we present PolarFly, a diameter-2 network topology based on the Erdos-Renyi family of polarity graphs from finite geometry. This is a highly…”
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Journal Article -
8
Sparse Hamming Graph: A Customizable Network-on-Chip Topology
Published 25-11-2022“…Chips with hundreds to thousands of cores require scalable networks-on-chip (NoCs). Customization of the NoC topology is necessary to reach the diverse design…”
Get full text
Journal Article -
9
HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement
Published 25-11-2022“…2.5D integration is an important technique to tackle the growing cost of manufacturing chips in advanced technology nodes. This poses the challenge of…”
Get full text
Journal Article -
10
Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments
Published 22-08-2024“…Knowledge graphs (KGs) have achieved significant attention in recent years, particularly in the area of the Semantic Web as well as gaining popularity in other…”
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Journal Article -
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Neural Graph Databases
Published 20-09-2022“…Learning on Graphs (LOG) 2022 Graph databases (GDBs) enable processing and analysis of unstructured, complex, rich, and usually vast graph datasets. Despite…”
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Journal Article -
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Multi-Head RAG: Solving Multi-Aspect Problems with LLMs
Published 07-06-2024“…Retrieval Augmented Generation (RAG) enhances the abilities of Large Language Models (LLMs) by enabling the retrieval of documents into the LLM context to…”
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Journal Article -
13
A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network
Published 05-10-2023“…Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) Santa Clara, CA, USA April 16-18, 2024 Novel low-diameter…”
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Journal Article -
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ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Published in SC22: International Conference for High Performance Computing, Networking, Storage and Analysis (01-11-2022)“…Important graph mining problems such as Clustering are computationally demanding. To significantly accelerate these problems, we propose ProbGraph: a graph…”
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Conference Proceeding -
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High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations
Published in SC23: International Conference for High Performance Computing, Networking, Storage and Analysis (11-11-2023)“…Graph attention models (A-GNNs), a type of Graph Neural Networks (GNNs), have been shown to be more powerful than simpler convolutional GNNs (C-GNNs). However,…”
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Conference Proceeding -
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ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Published 24-08-2022“…Proceedings of the ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis, November 2022 Important graph mining…”
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Journal Article