activity
20172026
most citedNetwork-Accelerated Non-Contiguous Memory Transfers

25 citations · 48 across the 11 of their papers we have counts for

collaborators

12 papers

cs.AR2026

Scalable Packet Tracking on FPGAs for Erasure-Coded RDMA over Lossy WANs

Yicheng Qian, Konstantin Taranov, Yevgeny Yankilevich +5

Modern AI workloads increasingly rely on scale across architectures that interconnect multiple datacenters to form a single "AI factory", overcoming the power and cooling constrain…

cs.NI2025★ 7 cited

Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity

Tommaso Bonato, Sepehr Abdous, Abdul Kabbani +11

Cloud computing and AI workloads are driving unprecedented demand for efficient communication within and across datacenters. However, the coexistence of intra- and inter-datacenter…

cs.NI2025

SDR-RDMA: Software-Defined Reliability Architecture for Planetary Scale RDMA Communication

Mikhail Khalilov, Siyuan Shen, Marcin Chrapek +16

RDMA is vital for efficient distributed training across datacenters, but millisecond-scale latencies complicate the design of its reliability layer. We show that depending on long-…

cs.NI2022

Efficient RDMA Communication Protocols

Konstantin Taranov, Fabian Fischer, Torsten Hoefler

Developers of networked systems often work with low-level RDMA libraries to tailor network modules to take full advantage of offload capabilities offered by RDMA-capable network co…

cs.DC2022★ 1 cited

Noise in the Clouds: Influence of Network Performance Variability on Application Scalability

Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov +3

Cloud computing represents an appealing opportunity for cost-effective deployment of HPC workloads on the best-fitting hardware. However, although cloud and on-premise HPC systems…

cs.NI2022

Building Blocks for Network-Accelerated Distributed File Systems

Salvatore Di Girolamo, Daniele De Sensi, Konstantin Taranov +5

High-performance clusters and datacenters pose increasingly demanding requirements on storage systems. If these systems do not operate at scale, applications are doomed to become I…

cs.DC2022★ 6 cited

FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example

Marcin Copik, Alexandru Calotoiu, Pengyu Zhou +2

FaaS (Function-as-a-Service) revolutionized cloud computing by replacing persistent virtual machines with dynamically allocated resources. This shift trades locality and statefulne…

cs.CR2022

NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications

Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi +2

This paper presents a security analysis of the InfiniBand architecture, a prevalent RDMA standard, and NVMe-over-Fabrics (NVMe-oF), a prominent protocol for industrial disaggregate…

cs.DB2021★ 6 cited

Farview: Disaggregated Memory with Operator Off-loading for Database Engines

Dario Korolija, Dimitrios Koutsoukos, Kimberly Keeton +3

Cloud deployments disaggregate storage from compute, providing more flexibility to both the storage and compute layers. In this paper, we explore disaggregation by taking it one st…

cs.DC2021★ 3 cited

rFaaS: Enabling High Performance Serverless with RDMA and Leases

Marcin Copik, Konstantin Taranov, Alexandru Calotoiu +1

High performance is needed in many computing systems, from batch-managed supercomputers to general-purpose cloud platforms. However, scientific clusters lack elastic parallelism, w…

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.DC2017

sPIN: High-performance streaming Processing in the Network

Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov +2

Optimizing communication performance is imperative for large-scale computing because communication overheads limit the strong scalability of parallel applications. Today's network…