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Dun and Bradstreet Risk Analytics - Supplier Intelligence
Use an AI-powered solution for supply and compliance teams who want to mitigate costly supplier risks intelligently.
Risk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
Sometimes we perform CPU intensive tasks (eg, bzip2) on a large file. Typically, we use tools like dd to chop it up and then run bzip2 processes on the pieces. After processing, we need to recombine the pieces. Parallel Processor automates all this.
The Java Code Clone Detection API (JCCD) allows to implement individual code clone detectors. These code clone detectors can be easily integrated into other Java applications. JCCD is based on a pipeline architecture which allows to replace whole par
PSIGHOS is a Java-based simulation library. PSIGHOS is focused on the simulation of business processes and comprises a parallel core so to reduce the execution time for large models.
Parallel Secure Shell (pssh) is an ssh wrapper that makes it easy to execute commands on multiple remote systems in parallel. pssh accepts lists of host names, system attributes and exclusions.
A tool for unloading data from Oracle in parallel. Goal: achieve very fast data unloading by taking advantage of available processing power in Oracle server.
Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
HadoopDB is a hybrid of parallel database and MapReduce technologies. It approaches parallel databases in performance and efficiency, yet still yields the scalability, fault tolerance, and flexibility of MapReduce systems.
Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
IDEA (Interactive Display for Evolutionary Analyses) augments PAML with a graphical interface, phylogeny reconstruction using PhyML or PHYLIP, convenient and efficient parallel processing and visualizations.
Parallel Port Control Made Easy - parashell allows control of a PC parallel port (input and output) with simple command line arguments. The simplicity of these programs make it very easy to use in scripts. Control stepper motors, Relays, LEDs, etc...
MOBAT is the Meta-Heuristic Optimizer Benchmark and Analysis Toolbox.
It can be used to configure, benchmark and analyze Evolutionary Algorithms and other Meta-Heuristic Optimizers. MOBAT is written in Java and optimized for parallel processing.
Qpnc is a high level library developed using the Qt4 framework. It provides a set of data containers and operation abstracts used to declare a set of numerical computations, witch in turn are automatically executed in a parallel fashion.
GridSim allows modeling and simulation of entities in parallel and distributed computing systems such as users, applications, resources, and resource brokers/schedulers for design and evaluation of scheduling algorithms. http://www.gridbus.org/gridsim
GridABM is an easy-to-use toolkit to develop high-performance agent-based models (ABMs) in Repast. GridABM facilitates large-scale simulation of ABM on multicore computers, local computing clusters, or computational grids.
RT-BOINC stands for a Real-Time BOINC. It was designed for managing highly-interactive, short-term, and massively-parallel real-time applications.
We implemented RT-BOINC on top of the recent BOINC server source codes.
OpenGeoPoint is server for aggregation and processing of geolocation data. It build with parallel processing in mind. It could be used in standalone mode or as part of enterprize application. It catches data grom trackers and navigators(GPS/GLONASS).
The 'LPT Interface' application is great for students. With 'LPT Interface' pupils can write & read the parallel port's: Data Port (8 bit), Control Port (4 bit) and read Status Port (4 bits).
Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
GCC UPC provides a compilation and execution environment for programs written in the UPC (Unified Parallel C) language. The GCC UPC compiler extends the capabilities of the GNU GCC compiler.
A modest extension to C, XMTC allows representing parallel (PRAM) algorithms as parallel programs, and run XMTC code using a compiler and cycle accurate simulator of the University of Maryland explicit multi-threaded (XMT) many-core architecture.
This C++ and Qt based project provides an easy way to control the step motor boards PAO-3M and SMK-4M-4A from Grummes Elektronik GmbH from within your own application. Interfacing is done using the LPT parallel port.
This is a development code for computer science research. It implements a solver for compressible gas dynamics. The code is distributed-memory parallel using MPI and data-parallel using the OpenCL framework.
Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru