STAC Summit, 4 May 2023, London

STAC Summits

STAC Summits bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in trading and investment.

Leonardo Royal Hotel
London City
8-14 Coopers Row
London (East) EC3N 2BQ



Click on the session titles to view the slides.

STAC Update: Big workloadsBig Data   Big Compute   

Bishop and Peter will present the latest STAC Benchmark Council activities in storage and compute critical workloads, which include STAC-M3 (the full stack needed for enterprise tick analytics), STAC-A2 (derivatives risk computation), STAC-A3 (strategy backtesting), and STAC-ML Training.

Innovation RoundupBig Data
  "Alpha Generation at Exabyte Scale"
    James Mulvenna, Director, EMEA, VAST Data
  "Constant performance, continuous innovation"
    Connor Gervin, Lead Architect, KX Partnership, KX
  "Open Source software for High Availability in general and SDS for Kubernetes from LINBIT"
    Philipp Reisner, CEO, LINBIT
Can object stores lift your data?Big Data   Big Compute   

Trading and investment firms must gain an advantage over the vast and ever-growing data they process, store, and analyze. Object stores, originally used for low-cost snapshots and archives, now bring space and cost savings to mission-critical applications. Could they be the lever that financial firms need? For object stores to provide leverage, everyone from storage architects to software developers needs to understand them. Our panel of experts will discuss important aspects, including use cases the performance is suitable for, how get/pull differs from read/write, integrating existing storage solutions and analytic stacks, and how moving this cloud-native technology on-prem impacts hybrid systems. Join us to explore how object stores can help you shoulder the weight of data. To kick off, some of the panelists will provide a short presentation:

  "OBJ at the speed of light!"
    Michael Rothenberg, Global UDS Business Development, Financial Trading & Energy, Dell Technologies
  "Architectures for Explosive Data Growth - Efficiently Handling AI, Analytics and Distributed Data"
    James Coomer, Senior VP of Products, DDN
  "WEKA in 5 Minutes"
    Mark Lucas, EMEA Director of Systems Engineering, WEKA
  "Pure Innovation: A new Era of Scale"
   Savas Nicolaides, Lead Principal Technologist, Pure Storage
STAC Update: Cloud communicationFast Data   Big Data   

Peter will discuss the latest STAC Benchmark Council updates on defining cloud communication benchmarks for on-prem-to-cloud and cloud-to-cloud communications.

Is the cloud ready for low-latency messaging?Fast Data   Big Data   

Low and consistent messaging latency are fundamental requirements for trading infrastructure. Kernel bypass technologies and UDP—both often discussed at STAC events—are dominant tools in on-prem, low-latency messaging but are largely absent in public clouds. Can trading workloads migrate to the cloud without them and still be successful? Martin thinks success is possible if you embrace different techniques and leave the "lift-and-shift" approach behind. He'll examine common issues when communicating between processes and containers over a software-defined IP network. He'll also cover emerging patterns that help overcome the challenges, including kernel bypass in the cloud, IPC, and simulated multicast. Along the way, he'll address how developers can modify software to take advantage of these patterns and achieve fanout. Be sure to bring your questions for Martin as he explores if the cloud can support your messaging needs.

Trading ecosystems in the cloud: Architecting for the inevitable?Fast DataBig DataFast ComputeBig Compute

As we've discussed at past STAC events, exchanges and central service providers are moving important functions into the cloud. Matching in traditional asset classes may take a while to migrate, but the logic for many surrounding functions is compelling. Trading firms will either want or need to follow suit, which means architecting for cloud has become critical. This raises many questions for an industry that has relied mostly on on-premises solutions. Which functions are likely to become most common in the cloud, over what time horizon? What kind of throughput, latency, and consistency can the cloud provide? How will the technologies that financial firms have come to rely on be adapted to the cloud? How should architects handle infrastructure decisions such as whether to go hybrid cloud or multi-cloud? Join our panelists as they dive into these questions and yours.

STAC Update: Fast dataFast Data   

Peter will discuss the latest research and benchmark results related to low-latency/high-throughput realtime workloads.

Innovation RoundupFast DataBig Data
  "Introducing LDA Revo: a specialized high-density device for line arbitration"
    Vahan Sardaryan, Co-Founder and CEO, LDA Technologies
  "The IPU – A paradigm shift in data centre infrastructure processing"
    Graham McKenzie, Senior Field Applications Engineer, Intel Corporation
  ”Understanding System Architectural Tradeoffs is key to delivering on your Network Monitoring goals”
    Iain Kenney, Sr. Director & Head of Product Management, cPacket Networks
  "Confinity LLM – Providing reliable multicast messaging over IB, RoCE and ETH"
    Stefan Ott, Managing Director, CEO, Confinity Solutions
Ethernet multicast congestion control: solving for lack of supportFast Data   

Network engineers building reliable multicast on high-speed ethernet depend on hardware and software mechanisms to avoid packet drops and latency spikes, but this dependency isn't always well-founded. In fact, while porting their infrastructure from Infiniband to ethernet, Deutsche Boerse engineers have encountered several issues with multicast congestion control. They have found that while congestion control often works for unicast, the same cannot be said for multicast. For example, the back pressure Deutsche Boerse has relied on for years to slow down senders and avoid retransmissions during microbursts is implemented differently from vendor to vendor, if implemented at all. Christoph will discuss the issues they've uncovered and his experience working with different hardware, protocols, and vendors to develop a solution. Bring your questions for Christoph and learn from his experience.

Innovation RoundupFast DataBig Data   Fast Compute   Big Compute   
  "The Security Versus Performance Balancing Act"
    Nick Bond, Senior Systems Engineer, A10 Networks
  "Lenovo Innovation and Sustainability"
    Dave Weber, Director, Global FSI CTO, Lenovo
  "REGGAE: a generic regulatory reporting system"
    Chandru Mullaparthi, Director, Bluehouse Technology
  "Advancing the role of the reseller"
    Tom Stephens, CEO, Techary
STAC Update: Real-time decisionsFast Data   Fast Compute   

Peter will discuss the latest STAC Benchmark Council updates and research on real-time decisions, including FPGA SIG updates and recent STAC-ML Markets (Inference) results.

Innovation RoundupMachine Learning   Fast Data   Fast Compute   
  "Be the first to respond to market changes. What does it take?"
    Liz Corrigan, Head of Engineering,
  "LSEG Overview of low latency solutions"
    Calum Mitchell, Low Latency Solutions Consultant, Refinitiv, an LSEG Business
  "Ultra Low Latency Market Data for Everyone"
    Cliff Maddox, Director of Business Development, NovaSparks
Can trading transition to 25G?Fast Data   

Migration to 25G, 40G, and 100G Ethernet is in full swing among enterprises and cloud providers, but exchange connections and trading infrastructures have resolutely remained at or below a 10G ceiling. It is tempting to believe this will always be so. But ever-increasing data rates and the need for larger data sets create mounting pressure for more bandwidth. Will trading be able to resist the pressure forever? Dave will explore whether the industry can change to 25G, along with several related questions. What impact will 25G have on low-latency infrastructure, not to mention timestamping, data capture, and operational support? Will firms use forward error correction, given the latency hit, and if not, how can they manage the data risk? How will more bandwidth impact market microstructure, and will it enable more insight into exchange behaviors? Join Dave as he looks at a possible future of trading networks.

4:05pm Innovation RoundupsMachine Learning   Fast Data   Fast Compute   
  "ÜberNIC: The Future of Networking. Today."
    Seth Friedman, CEO, Liquid-Markets-Solutions
  "Do more with less: Learn how to trade using FPGA and get to market faster without in-house expertise."
    Laurent de Barry, Director, Hardware Trading Solutions, Exegy
  ”The Edge of the Edge: PCB Latency in Trading Reaction Time”
    Michael O’Sullivan, Engineering Director, Cadence Design Systems
  "AMD Together We Advance Financial Services"
    Alastair Richardson, Strategic Business Development Director, Data Center and Communications Group, AMD
FPGAs beyond ultra-low latency?Fast Data   Fast Compute   Big Compute   

It's no secret that FPGAs are a favorite component for ultra-low latency system engineers. Firms can gain a significant edge by placing relatively simple trading strategies in an FPGA to avoid user space entirely. But what role can FPGAs play in more complex, compute-hungry strategies? Can FPGAs combine with other processors in quant-based trades or critical pricing algorithms? For that matter, does FPGA have a home outside real-time decision-making, such as in research infrastructures? Join our panelists as they discuss these questions and yours on the future of FPGAs in capital markets.


About STAC Events & Meetings

STAC events bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in finance.

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