Surface reconstruction is an important trend in 3D scanning. The problem is to recreate surfaces from a given point cloud within the shortest possible time and with a given quality criteria. There is a set of different approaches for solving this problem, which includes Self-Organized Maps, Bayesian reconstruction and Poisson reconstruction.
ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing
Here we put forward a newly developed simulation environment ARACHNE: it enables an investigator to build and explore cellular networks of arbitrary biophysical and architectural complexity using the logic of NEURON and a simple interface on a local computer or a mobile device.
Good (and Bad) Reasons to Outsource Software Engineering
Software outsourcing is a fairly common business practice these days. Although “outsourcing” may just mean asking somebody "outside" of the company to perform the work, it typically means that work is "shipped" off-shore.
Adaptation of Image Processing Software for Windows Azure and HPC Cluster
In parallel computing systems computations are executed simultaneously, wholly or in part. This approach is based on the partitioning of a big task into smaller subtasks that can run in parallel.
Parallel computing techniques in CAD drawing analysis
Sketches obtained as a result of import or export from different CAD packages to DXF/DWG formats often contain broken geometry relations: broken tangent, broken horizontal or vertical relations, gaps between entities, etc.
Comparison of ConcRT, OpenMP and TBB technologies for multi-core numeric computation
In order to compare ConcRT, OpenMP and TBB technologies, we implemented a few algorithms from different areas of numeric computation and compared their performance with C++ equivalents. Four functions were implemented.
Mathematical modeling of complex problems is far more mainstream than it once was, and Excel has played a major role in making that happen. From linear programming to statistical models, Excel is used to implement many different modeling techniques. Built-in functions and custom worksheets significantly enhance Excel’s flexibility and suitability as the modeling tool of choice within existing customer-based applications.
Advantages of the distributed implementation of the Monte Carlo method in neurobiology simulation
The goal of this paper is to demonstrate the performance benefits from using distributed algorithms and computational power of clusters for Monte Carlo method in simulating processes in the field of neurobiology.
Microsoft announced new technology for GPGPU called C++ Accelerated Massive Parallelism - C++ AMP. It accelerates the execution of C++ code by taking advantage of the GPUs present on video cards with DirectX11 support. The main structure of C++ AMP is influenced by its main competitors like OpenCL and CUDA. But unlike OpenCL and CUDA, that are more oriented in C code, C++ AMP looks like STL library with new C++11 support.
As a software provider, you are undoubtedly stressed. You need high quality developers but can't spend a fortune and have little time to babysit anyone. Perhaps you considered outsourcing– but you probably also have heard many horror stories in the media and from colleagues. We actually agree, typical outsourcing is not usually the answer as it’s proven to fail often. Thus, after more than 10 years providing successful outsourcing solutions, we at AMC Bridge decided to share our experiences. Here are top 5 tips we have used to ensure that outsourcing works properly.
Managing large and complex Bills of Materials remains one of the most time-consuming activities for engineering and manufacturing organizations. Engineers frequently switch between multiple interfaces to search, analyze, and update product structures, creating inefficiencies that slow product development and increase the risk of errors.
Many manufacturing organizations continue to face challenges in connecting engineering plans with what actually happens on the shop floor, during testing, or throughout product servicing and maintenance. As execution data becomes disconnected from product definitions, organizations often experience reduced traceability, increased compliance risks, and costly rework.
By Igor Tsinman, President and CEO, AMC Bridge. In our work with enterprise engineering organizations, we see a recurring pattern: the platform decision has been made, the APIs are available, initial prototypes show promise, and then the project stalls. Not because of missing capabilities, but because of everything that surrounds them: authentication models, cost governance, CI/CD pipelines, long-term maintainability, and the effort of moving from a working demo to a system hundreds of users depend on daily.
3D engineering data is no longer confined to engineering. It now supports manufacturing, service, supply chain collaboration, digital twins, and emerging AI-driven initiatives. Yet many organizations struggle with a critical question: Should they build custom solutions to unlock and leverage engineering data, buy commercial tools, or combine both approaches? Join industry experts as they explore the growing demand for 3D engineering data across the digital thread and reveal how leading manufacturers are approaching the build-versus-buy decision. The webinar will examine the technical and business challenges of making engineering data accessible across the enterprise, the surprising reality of hybrid build-and-buy strategies, and the factors driving organizations to rethink traditional software decisions.
