The Yale Core-CT, also known as the Yale Core Megan, is a high-performance, Linux-based computer system designed for use in a variety of applications, including scientific research, data analysis, and high-performance computing. Developed by Yale University, the Yale Core-CT is a custom-built system that leverages the latest advancements in computer hardware and software to deliver exceptional processing power, memory, and storage capabilities.
System Architecture
The Yale Core-CT system architecture is based on a modular design, consisting of multiple nodes, each comprising a combination of central processing units (CPUs), graphics processing units (GPUs), and memory. This modular design allows for easy scalability and flexibility, enabling users to configure the system to meet their specific needs. The system’s architecture is optimized for high-performance computing, with a focus on parallel processing, distributed computing, and high-speed data transfer.
Hardware Components
The Yale Core-CT system features a range of high-performance hardware components, including Intel Xeon CPUs, NVIDIA Tesla GPUs, and high-speed InfiniBand interconnects. The system’s memory and storage capabilities are equally impressive, with support for up to 256 GB of RAM and 100 TB of storage. The system’s hardware components are carefully selected and configured to ensure optimal performance, reliability, and scalability.
| Component | Specification |
|---|---|
| CPUs | Intel Xeon E5-2690 v4, 2.6 GHz, 18 cores |
| GPUs | NVIDIA Tesla P100, 16 GB GDDR5 |
| Memory | Up to 256 GB DDR4, 2400 MHz |
| Storage | Up to 100 TB, SAS or SSD |
Software and Operating System
The Yale Core-CT system runs on a Linux-based operating system, providing a stable and secure platform for running a wide range of applications. The system supports a variety of software frameworks and tools, including OpenMP, MPI, and CUDA, making it easy to develop and deploy parallel and distributed applications. The system’s operating system and software stack are carefully optimized to ensure maximum performance, reliability, and scalability.
Applications and Use Cases
The Yale Core-CT system is designed to support a wide range of applications and use cases, including scientific research,
- Scientific research: climate modeling, molecular dynamics, and materials science
- Data analysis: data mining, data warehousing, and business intelligence
- Machine learning: deep learning, natural language processing, and computer vision
What is the maximum storage capacity of the Yale Core-CT system?
+The maximum storage capacity of the Yale Core-CT system is 100 TB, with support for SAS or SSD storage.
What operating system does the Yale Core-CT system run on?
+The Yale Core-CT system runs on a Linux-based operating system.
In conclusion, the Yale Core-CT system is a high-performance computer system designed for use in a variety of applications, including scientific research, data analysis, and high-performance computing. The system’s modular design, high-performance hardware components, and optimized software stack make it an ideal platform for running complex simulations, data analytics, and machine learning workloads.
