Mountain View, USA, Dec. 23, 2016 - Maxeler Technologies Inc., a leading provider of dataflow computing platforms and a member of the Hitachi Technology Alliance Program, announced today its collaboration with Hitachi Data Systems to address the demands of new financial legislation and compliance regulations with a high-performance compliance capture and analytics solution. The Maxeler-Hitachi Data Systems solution combines Maxeler Technologies Data Flow Engine (DFE) technology with high-reliability Hitachi NAS (HNAS) and Hitachi Unified Storage (HUS) for performance-matched data acquisition and storage and Pentaho Data Integration and Business Analytics software for real-time and forensic analytics and reporting dashboards. Offering end-to-end nanosecond packet capture, deep memory buffering and timestamping at line rate, the solution helps financial institutions achieve the high-frequency, transaction-related record keeping mandated in European Union MiFID II and US Dodd-Frank regulations.
We are excited to be one of the first AWS EC2 F1 partners. The F1 instance makes Maxeler Multiscale Dataflow Computing in the public cloud a cornerstone of our scale out strategy. With a hybrid private-plus-public cloud setup, Maxeler's upcoming MAX5 product line will be able to complement the AWS EC2 F1 instances while ensuring a smooth migration from on-premise computing to the AWS cloud.
Maxeler will be on the exhibition floor at ISC in Frankfurt, 19-21 June. Come visit our booth.
Maximum Preformance Eco-System is web library which contains applications based on dataflow concept
Maxeler Real Time Risk (Maxeler RTR) is a suite of Finance Risk tools and components, in- cluding CVA, Margin Requirements (ISDA SIMM and CME Clearing) but also a full derivatives pricing library, driven by Bloomberg market data and the customer trades in FPML format.
Maxeler Technologies will demonstrate its finance counterparty risk (CVA) product with FPML support.
Wide press coverage of announcements of the collaborations with Hitachi and Amazon.
The MPC-X box provides Maximum density compute, holding eight DFEs in a single 1U unit.
The success of static Multiscale Dataflow Computing (MDC) is an acknowledgement of the rising importance of Data as opposed to algorithms. As transistors shrink, wire delays become more important than logic delays and memory accesses matter more than arithmetic operations. Therefore, in this new world, an optimal computing methodology is one that minimizes the sum of all travel distances of all data items while an algorithm is running.
We combine Maximum Performance Computing consulting with our dataflow computing technology to drive faster deployment of next-generation algorithms and lasting competitive advantage.
Maxeler's Finance Risk Library provides pricing, risk, and sensivity analysis.
The QFX-PFA-4Q is programmed using Maxeler's dataflow compiler, including full TCP/IP support as well as a module to describe high level networking protocols in Java, to target the module. Network traffic can be decoded, transformed and re-encoded as a bump-in-the-wire, sustaining line rate throughputs with minimal, predictable and static latency.
DFEs can now be taught to speak almost any language.
Discovery of new oil and gas reserves is more important than ever. New software tools can have a significant impact on seismic data interpretation for exploration but at a considerable computational cost. Maxeler's Multiscale Dataflow Technology delivers the next generation of algorithms at a cost comparable to lower fidelity approaches, as well as increasing throughput and decreasing turnaround times for current applications.
Maxeler was named by Scientific Computing in a list of HPC applications that had an impact on quality of life and prosperity over the past decades.
Maxeler's Multiscale Dataflow Technology is uniquely positioned to deliver orders-of-magnitude acceleration of financial algorithms.
Maxeler is pioneering a multi-disciplinary approach to scientific computing that takes a team of natural and computer scientists and engineers all the way from the formulation of the computational problem down to design of the best possible computer architecture for its solution. Multiscale Dataflow Technology provides 30x improvements in power efficiency compared to conventional CPUs, delivering unmatched computational performance for large-scale scientific computations.
Maxeler was awarded a Second Phase contract for the PRACE Pre-Commercial Procurement (PCP). PRACE PCP aims at obtaining R&D services in order to make future PRACE HPC systems more energy efficient.
OpenSPL is an open standard for a novel Spatial Programming Language. It is based on the core concept that a program executes in space, rather than in time sequence. All operations are assumed to be parallel unless specified to be sequential. This is similar to a factory floor where all operations execute in parallel, but each operation executes a different part of the overall process. Temporal Programming is a recipe for the execution of actions, whereas Spatial Programming builds a factory to execute the recipe.
Dataflow Engines (DFEs) deliver the lowest latency solution for VR rendering.
Maxeler provides a fully programmable network platform for low latency trading, including: MaxCompilerMPT for algorithm and protocol development MPT Exchange Connectors including Eurex, CME, NYSE and NASDAQ MPT Hardware platforms with 10G and 40G network connections.
Maxeler's MPT combines dataflow computing technology with optimized industry-standard exchange interfaces and 10Gbit Ethernet connections to deliver the lowest latency for financial trading applications.
In August 2015 Rolls-Royce and Maxeler started a collaborative project supported by Innovate UK on using Multiscale Dataflow Computing for large scale CFD simulations.
The aim of this course is to introduce you to the basics of Computing in Space.
Highly capable PCI-e dataflow compute card, available for Universities to enable affordable dataflow acceleration
MICRO 2014: Prof. Yale Patt's pitch at the debate "It is the End of the Road for the von Neumann Architecture"
Reconfigurable Dataflow was first proposed in 1998 as a rejected submission to the Wild-and-Crazy session at the ASPLOS conference.
Techworld reports on the new OpenSPL standard for spatial programming is uniquely positioned to deliver orders-of-magnitude acceleration of financial algorithms.
Researchers at University College Cork are leading a 4 million EU-funded research project to improve energy efficiency in cloud computing.
STFC in new collaboration with aim of creating one of the world's most energy efficient supercomputers
Maxeler's revolutionary MPC-X series shares multiple dataflow engines as dynamically allocated resources on the network, allowing existing clusters to be quickly augmented with dataflow technology.
Computer Weekly covers the news that J.P. Morgan has gone live with a new, more powerful Maxeler dataflow supercomputer in a new area of the business.
DFEs are ideal substrates for video. Maxeler is offering a wide range of components for video processing, encoding, and transformation.
Maxeler Technologies has been selected as one of the Top 20 Juniper service providers by CIO Review magazine in August 2015.
The Second OpenSPL Summer School took place at Imperial College on 6-10 July 2015.
The HARNESS project which received 3 million euro EU funding from the European Community's Framework Programme 7 (contract nr. 318521), has announced the release of its open source tools for integrating and managing heterogeneous compute, networking and storage technologies into today's data centres.
The 6.3Mln Euro VINEYARD project will work on the next generation of energy-efficient data centres.