Presenting Network Optimization Research at Supercomputing 2020

This year’s Supercomputing Conference (SC20) is taking place virtually from November 9 – 17. Reservoir Labs’ Networking team shares its latest research on Thursday, November 12.    During SCinet’s Network Research Exhibition (NRE) Research Overview, Sruthi Yellamraju, Principal Engineer, showcases Reservoir’s GradientGraph technology which enables real-time traffic engineering, high-performance baselining, and a framework for high-precision […]

IEEE SmartGridComm 2020

ED4GAP SCG2020

At the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2020), Dr. Atul Bohara presents “ED4GAP: Efficient Detection for GOOSE-Based Poisoning Attacks on IEC 61850 Substations” on Thursday, November 12 at 11am eastern during session Security 3: Attack and Defence. This work, with contribution from Reservoir engineer Jordi Ros-Giralt, […]

Reservoir’s Latest Findings on Network Bottlenecks at ACM SIGMETRICS 2020

Though the SIGMETRICS conference, the flagship event of the ACM special interest group for the computer systems performance evaluation community, has been canceled this year, Reservoir Labs has been recognized by the organization for its research “On the Bottleneck Structure of Congestion-Controlled Networks.”      Also published as open-access in Vol. 3, No. 3 Proceedings […]

Reservoir Labs Presents its Latest R&D on GradientGraph at CERN

On Monday January 13 – Friday January 17, 2020, CERN hosts the Large Hadron Collider Optical Private Network/Large Hadron Collider Open Network Environment (LHCOPN/LHCONE) Workshop, followed by the 4th Special Interest Group on Next Generation Networks (SIG-NGN) Meeting. At SIG-NGN on January 16 at 12pm CET, Dr. Jordi Ros-Giralt of Reservoir Labs presents research on […]

Reservoir Labs at the 2019 Supercomputing Conference

Reservoir Labs is proud to return to Supercomputing (SC19), the International Conference for High Performance Computing, Networking, Storage and Analysis, November 17-22 in Denver, CO. Our team looks forward to sharing recent developments in network performance, high performance data analytics, exascale mapping, and novel approaches to neural network optimization.  We invite you to join us […]

Reservoir Labs at SuriCon 2019: Running Suricata on DPDK

On October 30 – November 1, 2019 at SuriCon in Amsterdam, Netherlands, Reservoir Labs presents a poster session on mCore: Running Suricata on DPDK. Presenting mCore™, a vendor independent, high-performance packet forwarding engine. mCore runs on any DPDK-capable NIC and forwards packets from the NIC to parallel applications, including Suricata and Zeek.  Performance optimizations include (1) […]

Reservoir Labs Presents at HPEC 2019

On September 25 and 26, Reservoir Labs will present five papers at The IEEE 2019 High Performance Exascale Computing Conference (HPEC 2019) on topics of emerging interest including Graphs, Networks & Sparse Data, HPC, Advanced Sensing, and AI. The following papers will be presented: Combinatorial Multigrid: Advanced Preconditioners For Ill-Conditioned Linear SystemsFast Large-Scale Algorithm for Electromagnetic Wave Propagation in 3D Media Fast and […]

Reservoir Presents at 2019 SIAM Workshop on Network Science

At the 2019 SIAM Workshop on Network Science, Jordi Ros-Giralt will be presenting the poster “On the Bottleneck Structure of Positive Linear Programming“, addressing Reservoir Labs’ research and technology for communications traffic bottleneck and flow analysis for  optimization.  The poster illustrates the connection between positive linear programming (PLP) problems and network problem representations.  This research enables new polynomial-time optimization […]

Reservoir Labs Presents “Fast Detection of Elephant Flows with Dirichlet-Categorical Inference” at Supercomputing 2018

As part of the 2018 Supercomputing Conference in Dallas, TX, Reservoir Labs is presenting a Workshop paper entitled “Fast Detection of Elephant Flows with Dirichlet-Categorical Inference“. Reservoir engineers Aditya Gudibanda and Jordi Ros-Giralt introduce new innovative algorithms for high performance networking to detect heavy hitter flows reducing error rate by a factor of 20.  This […]