activity
20242026
most citedPystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Revisited Support Vector Machines: A Unified Joint Optimization Framework with Nyström Approximation for Scalable Adaptive Learning

Nassou Gongon Benjamin, Noulapeu Ngaffo, Patrick Njionou Sadjang

The theoretical elegance of Support Vector Machines (SVMs), grounded in statistical learning theory, establishes them as a reference for robust classification. However, in the era…

cs.DB2026

BtrLog: Low-Latency Logging for Cloud Database Systems

Maximilian Kuschewski, Lam-Duy Nguyen, Matthias Jasny +3

Cloud database systems cannot rely on instance-local disks for write-ahead logging (WAL) durability, forcing WAL onto remote storage. Existing options are unsatisfying: remote bloc…

cs.DB2026

The Bi-Channel Networking Paradigm for Database Systems in the Cloud

Georg Kreuzmayr, Muhammad El-Hindi, Benjamin Wagner +2

When network links were slow, cloud and distributed database systems could rely on generic kernel abstractions and treat network communication as a black box. With today's fast clo…

cs.DB2025

High-Performance DBMSs with io_uring: When and How to use it

Matthias Jasny, Muhammad El-Hindi, Tobias Ziegler +2

We study how modern database systems can leverage the Linux io_uring interface for efficient, low-overhead I/O. io_uring is an asynchronous system call batching interface that unif…

cs.DB2025★ 1 cited

PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage

Jigao Luo, Nils Boeschen, Muhammad El-Hindi +1

The AI hardware boom has led modern data centers to adopt HPC-style architectures centered on distributed, GPU-centric computation. Large GPU clusters interconnected by fast RDMA n…

cs.DB2025

Redbench: Workload Synthesis From Cloud Traces

Johannes Wehrstein, Roman Heinrich, Mihail Stoian +5

Workload traces from cloud data warehouse providers reveal that standard benchmarks such as TPC-H and TPC-DS fail to capture key characteristics of real-world workloads, including…

cs.DB2024

Benchmarking Analytical Query Processing in Intel SGXv2

Adrian Lutsch, Muhammad El-Hindi, Matthias Heinrich +3

Trusted Execution Environments (TEEs), such as Intel's Software Guard Extensions (SGX), are increasingly being adopted to address trust and compliance issues in the public cloud. I…