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08/23/2023
Cached Operator Reordering: A Unified View for Fast GNN Training
Graph Neural Networks (GNNs) are a powerful tool for handling structured...
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08/18/2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
We introduce Graph of Thoughts (GoT): a framework that advances promptin...
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05/18/2023
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores
Graph databases (GDBs) are crucial in academic and industry applications...
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02/14/2023
PolarStar: Expanding the Scalability Horizon of Diameter-3 Networks
In this paper, we present PolarStar, a novel family of diameter-3 networ...
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11/25/2022
HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement
2.5D integration is an important technique to tackle the growing cost of...
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11/25/2022
Sparse Hamming Graph: A Customizable Network-on-Chip Topology
Chips with hundreds to thousands of cores require scalable networks-on-c...
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09/20/2022
Neural Graph Databases
Graph databases (GDBs) enable processing and analysis of unstructured, c...
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08/24/2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Important graph mining problems such as Clustering are computationally d...
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08/02/2022
PolarFly: A Cost-Effective and Flexible Low-Diameter Topology
In this paper we present PolarFly, a diameter-2 network topology based o...
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06/20/2022
Building Blocks for Network-Accelerated Distributed File Systems
High-performance clusters and datacenters pose increasingly demanding re...
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05/19/2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Graph neural networks (GNNs) are among the most powerful tools in deep l...
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02/28/2022
Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching
Triangle count and local clustering coefficient are two core metrics for...
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09/20/2021
Parallel Algorithms for Finding Large Cliques in Sparse Graphs
We present a parallel k-clique listing algorithm with improved work boun...
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08/20/2021
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations
Matrix factorizations are among the most important building blocks of sc...
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05/26/2021
Towards Million-Server Network Simulations on Just a Laptop
The growing size of data center and HPC networks pose unprecedented requ...
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05/15/2021
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs
Determining I/O lower bounds is a crucial step in obtaining communicatio...
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04/15/2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems
Simple graph algorithms such as PageRank have been the target of numerou...
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03/05/2021
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra
We propose GraphMineSuite (GMS): the first benchmarking suite for graph ...
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12/28/2020
SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing
Function-as-a-Service (FaaS) is one of the most promising directions for...
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12/11/2020
The Future is Big Graphs! A Community View on Graph Processing Systems
Graphs are by nature unifying abstractions that can leverage interconnec...
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10/30/2020
To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations
We reduce the cost of communication and synchronization in graph process...
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10/29/2020
Log(Graph): A Near-Optimal High-Performance Graph Representation
Today's graphs used in domains such as machine learning or social networ...
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10/28/2020
Substream-Centric Maximum Matchings on FPGA
Developing high-performance and energy-efficient algorithms for maximum ...
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10/21/2020
Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability
Emerging chips with hundreds and thousands of cores require networks wit...
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10/19/2020
SlimSell: A Vectorizable Graph Representation for Breadth-First Search
Vectorization and GPUs will profoundly change graph processing. Traditio...
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10/19/2020
High-Performance Distributed RMA Locks
We propose a topology-aware distributed Reader-Writer lock that accelera...
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10/19/2020
Evaluating the Cost of Atomic Operations on Modern Architectures
Atomic operations (atomics) such as Compare-and-Swap (CAS) or Fetch-and-...
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10/18/2020
Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages
We propose Atomic Active Messages (AAM), a mechanism that accelerates ir...
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10/18/2020
Fault Tolerance for Remote Memory Access Programming Models
Remote Memory Access (RMA) is an emerging mechanism for programming high...
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10/12/2020
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Dense linear algebra kernels, such as linear solvers or tensor contracti...
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08/26/2020
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality
We develop the first parallel graph coloring heuristics with strong theo...
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07/07/2020
High-Performance Routing with Multipathing and Path Diversity in Ethernet and HPC Networks
The recent line of research into topology design focuses on lowering net...
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01/21/2020
Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided
Modern interconnects offer remote direct memory access (RDMA) features. ...
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12/29/2019
Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism
Graph processing has become an important part of various areas of comput...
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12/19/2019
Slim Fly: A Cost Effective Low-Diameter Network Topology
We introduce a high-performance cost-effective network topology called S...
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12/18/2019
Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics
We propose Slim Graph: the first programming model and framework for pra...
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11/11/2019
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons
Jaccard Similarity index is an important measure of the overlap of two s...
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10/28/2019
Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations
Remote memory access (RMA) is an emerging high-performance programming m...
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10/20/2019
Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries
Graph processing has become an important part of multiple areas of compu...
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08/26/2019
Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication
We propose COSMA: a parallel matrix-matrix multiplication algorithm that...
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08/22/2019
Network-Accelerated Non-Contiguous Memory Transfers
Applications often communicate data that is non-contiguous in the send- ...
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06/26/2019
FatPaths: Routing in Supercomputers, Data Centers, and Clouds with Low-Diameter Networks when Shortest Paths Fall Short
We introduce FatPaths: a simple, generic, and robust routing architectur...
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02/25/2019
Graph Processing on FPGAs: Taxonomy, Survey, Challenges
Graph processing has become an important part of various areas, such as ...
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01/29/2019
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
We introduce Deep500: the first customizable benchmarking infrastructure...
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06/05/2018
Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations
Various graphs such as web or social networks may contain up to trillion...
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09/22/2016
