activity
20162026
most citedGraph of Thoughts: Solving Elaborate Problems with Large Language Models

483 citations · 1k across the 69 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.DC2019★ 3 cited

Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems

Maciej Besta, Marc Fischer, Vasiliki Kalavri +2

Graph processing has become an important part of various areas of computing, including machine learning, medical applications, social network analysis, computational sciences, and…

cs.NI2019★ 1 cited

Slim Fly: A Cost Effective Low-Diameter Network Topology

Maciej Besta, Torsten Hoefler

We introduce a high-performance cost-effective network topology called Slim Fly that approaches the theoretically optimal network diameter. Slim Fly is based on graphs that approxi…

cs.DS2019★ 5 cited

Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics

Maciej Besta, Simon Weber, Lukas Gianinazzi +4

We propose Slim Graph: the first programming model and framework for practical lossy graph compression that facilitates high-performance approximate graph processing, storage, and…

cs.CE2019★ 2 cited

Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons

Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa +4

The Jaccard similarity index is an important measure of the overlap of two sets, widely used in machine learning, computational genomics, information retrieval, and many other area…

cs.DC2019

Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations

Maciej Besta, Torsten Hoefler

Remote memory access (RMA) is an emerging high-performance programming model that uses RDMA hardware directly. Yet, accessing remote memories cannot invoke activities at the target…

cs.DB2019★ 20 cited

Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries

Maciej Besta, Robert Gerstenberger, Emanuel Peter +5

Graph processing has become an important part of multiple areas of computer science, such as machine learning, computational sciences, medical applications, social network analysis…

cs.NI2019★ 25 cited

Network-Accelerated Non-Contiguous Memory Transfers

Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth +7

Applications often communicate data that is non-contiguous in the send- or the receive-buffer, e.g., when exchanging a column of a matrix stored in row-major order. While non-conti…

cs.CC2019★ 10 cited

Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication

Grzegorz Kwasniewski, Marko Kabić, Maciej Besta +3

We propose COSMA: a parallel matrix-matrix multiplication algorithm that is near communication-optimal for all combinations of matrix dimensions, processor counts, and memory sizes…

cs.NI2019★ 1 cited

FatPaths: Routing in Supercomputers and Data Centers when Shortest Paths Fall Short

Maciej Besta, Marcel Schneider, Karolina Cynk +5

We introduce FatPaths: a simple, generic, and robust routing architecture that enables state-of-the-art low-diameter topologies such as Slim Fly to achieve unprecedented performanc…

cs.DC2019★ 40 cited

Graph Processing on FPGAs: Taxonomy, Survey, Challenges

Maciej Besta, Dimitri Stanojevic, Johannes De Fine Licht +2

Graph processing has become an important part of various areas, such as machine learning, computational sciences, medical applications, social network analysis, and many others. Va…

cs.DC2019

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning

Tal Ben-Nun, Maciej Besta, Simon Huber +3

We introduce Deep500: the first customizable benchmarking infrastructure that enables fair comparison of the plethora of deep learning frameworks, algorithms, libraries, and techni…