31 citations · 74 across the 15 of their papers we have counts for
15 papers
Agentic Context Cracking: Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data
Milad Rezaei Hajidehi, Qitong Wang, Stratos Idreos
Valuable data remains embedded in unstructured sources: web pages, reports, contracts, filings, earnings calls, and PDFs. The big bet in enterprise AI is deploying LLM agents that…
Low-Frequency Shortcuts in Texture-Driven Visual Learning
Utku Şirin, Cathy Hou, David Alvarez-Melis +2
Neural networks suffer from shortcut learning, where learned features generalize well to the training set but not to in-distribution (ID) or out-of-distribution (OOD) test sets. Ex…
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice
Dingheng Mo, Siqiang Luo, Stratos Idreos
LSM-tree based key-value stores are widely adopted as the data storage backend in modern big data applications. The LSM-tree grows with data ingestion, by either adding levels with…
The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi +43
On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challe…
Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
Costin-Andrei Oncescu, Sanket Purandare, Stratos Idreos +1
While transformers have been at the core of most recent advancements in sequence generative models, their computational cost remains quadratic in sequence length. Several subquadra…
TorchTitan: One-stop PyTorch native solution for production ready LLM pre-training
Wanchao Liang, Tianyu Liu, Less Wright +10
The development of large language models (LLMs) has been instrumental in advancing state-of-the-art natural language processing applications. Training LLMs with billions of paramet…
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation
Ruihong Wang, Jianguo Wang, Stratos Idreos +2
Memory disaggregation (MD) allows for scalable and elastic data center design by separating compute (CPU) from memory. With MD, compute and memory are no longer coupled into the sa…
Proteus: A Self-Designing Range Filter
Eric R. Knorr, Baptiste Lemaire, Andrew Lim +4
We introduce Proteus, a novel self-designing approximate range filter, which configures itself based on sampled data in order to optimize its false positive rate (FPR) for a given…
Real-Time LSM-Trees for HTAP Workloads
Hemant Saxena, Lukasz Golab, Stratos Idreos +1
Real-time analytics systems employ hybrid data layouts in which data are stored in different formats throughout their lifecycle. Recent data are stored in a row-oriented format to…
Learning Key-Value Store Design
Stratos Idreos, Niv Dayan, Wilson Qin +8
We introduce the concept of design continuums for the data layout of key-value stores. A design continuum unifies major distinct data structure designs under the same model. The cr…
MotherNets: Rapid Deep Ensemble Learning
Abdul Wasay, Brian Hentschel, Yuze Liao +2
Ensembles of deep neural networks significantly improve generalization accuracy. However, training neural network ensembles requires a large amount of computational resources and t…
The Internals of the Data Calculator
Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel +2
Data structures are critical in any data-driven scenario, but they are notoriously hard to design due to a massive design space and the dependence of performance on workload and ha…
Evolutionary Data Systems
Stratos Idreos, Lukas M. Maas, Mike S. Kester
Anyone in need of a data system today is confronted with numerous complex options in terms of system architectures, such as traditional relational databases, NoSQL and NewSQL solut…
Concurrency Control for Adaptive Indexing
Goetz Graefe, Felix Halim, Stratos Idreos +2
Adaptive indexing initializes and optimizes indexes incrementally, as a side effect of query processing. The goal is to achieve the benefits of indexes while hiding or minimizing t…
Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores
Felix Halim, Stratos Idreos, Panagiotis Karras +1
Modern business applications and scientific databases call for inherently dynamic data storage environments. Such environments are characterized by two challenging features: (a) th…