Alert button
Picture for Theodoros Rekatsinas

Theodoros Rekatsinas

Alert button

Co-design Hardware and Algorithm for Vector Search

Jul 06, 2023
Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cedric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso

Figure 1 for Co-design Hardware and Algorithm for Vector Search
Figure 2 for Co-design Hardware and Algorithm for Vector Search
Figure 3 for Co-design Hardware and Algorithm for Vector Search
Figure 4 for Co-design Hardware and Algorithm for Vector Search
Viaarxiv icon

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning

May 28, 2023
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysis Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas

Figure 1 for Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Figure 2 for Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Figure 3 for Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Figure 4 for Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Viaarxiv icon

Growing and Serving Large Open-domain Knowledge Graphs

May 16, 2023
Ihab F. Ilyas, JP Lacerda, Yunyao Li, Umar Farooq Minhas, Ali Mousavi, Jeffrey Pound, Theodoros Rekatsinas, Chiraag Sumanth

Figure 1 for Growing and Serving Large Open-domain Knowledge Graphs
Figure 2 for Growing and Serving Large Open-domain Knowledge Graphs
Figure 3 for Growing and Serving Large Open-domain Knowledge Graphs
Figure 4 for Growing and Serving Large Open-domain Knowledge Graphs
Viaarxiv icon

High-Throughput Vector Similarity Search in Knowledge Graphs

Apr 04, 2023
Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury, Ali Mousavi, Ihab F. Ilyas, Umar Farooq Minhas, Jeffrey Pound, Theodoros Rekatsinas

Figure 1 for High-Throughput Vector Similarity Search in Knowledge Graphs
Figure 2 for High-Throughput Vector Similarity Search in Knowledge Graphs
Figure 3 for High-Throughput Vector Similarity Search in Knowledge Graphs
Figure 4 for High-Throughput Vector Similarity Search in Knowledge Graphs
Viaarxiv icon

Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale

Apr 15, 2022
Ihab F. Ilyas, Theodoros Rekatsinas, Vishnu Konda, Jeffrey Pound, Xiaoguang Qi, Mohamed Soliman

Figure 1 for Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Figure 2 for Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Figure 3 for Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Figure 4 for Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale
Viaarxiv icon

Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine

Feb 04, 2022
Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman

Figure 1 for Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine
Figure 2 for Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine
Figure 3 for Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine
Figure 4 for Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine
Viaarxiv icon

Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins

Jun 02, 2021
Sahaana Suri, Ihab F. Ilyas, Christopher Ré, Theodoros Rekatsinas

Figure 1 for Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
Figure 2 for Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
Figure 3 for Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
Figure 4 for Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins
Viaarxiv icon

Learning Massive Graph Embeddings on a Single Machine

Jan 20, 2021
Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

Figure 1 for Learning Massive Graph Embeddings on a Single Machine
Figure 2 for Learning Massive Graph Embeddings on a Single Machine
Figure 3 for Learning Massive Graph Embeddings on a Single Machine
Figure 4 for Learning Massive Graph Embeddings on a Single Machine
Viaarxiv icon