Knowledge Center Archives

Comparison of NVIDIA Tesla/Quadro and NVIDIA GeForce GPUs

This resource was prepared by Microway from data provided by NVIDIA and trusted media sources. All NVIDIA GPUs support general-purpose computation (GPGPU), but not all GPUs offer the same performance or support the same features. The consumer line of GeForce … Continue reading

In-Depth Comparison of NVIDIA Tesla Kepler GPU Accelerators

This article provides in-depth details of the NVIDIA Tesla K-series GPU accelerators (codenamed “Kepler”). “Kepler” GPUs improve upon the previous-generation “Fermi” architecture. For more information on other Tesla GPU architectures, please refer to: In-Depth Comparison of NVIDIA Tesla “Maxwell” GPU … Continue reading

In-Depth Comparison of Intel Xeon E5-2600v2 “Ivy Bridge” Processors

This article provides in-depth discussion and analysis of the 22nm Xeon E5-2600v2 series processors (formerly codenamed “Ivy Bridge”). “Ivy Bridge” processors improve upon the previous 32nm “Sandy Bridge” microarchitecture and are available for sale as of September 10, 2013. For … Continue reading

Performance Characteristics of Common Network Fabrics

Ethernet Performance of ethernet networks varies widely. Factors include the switch and NIC manufacturer, firmware settings and system/software settings. Physical layer even plays a role: 10 GigE over RJ45 (10GBase-T) has a higher latency than SFP+ Direct-Attach copper. Contact our … Continue reading

Estimating the Performance of a New Computer System

Transistor density doubles every ~2 years. Ideally, this means we can provide you computers that contain twice as much memory and perform twice as fast. In practice, it’s much more nuanced. Benchmark Your Application The best performance comparison will always … Continue reading

Performance Characteristics of Common Transports and Buses

Memory The following values are measured per CPU socket. They must be doubled or quadrupled to calculate the total memory bandwidth of a multiprocessor workstation or server. For dual-processor systems, multiply by two. For quad-processor systems, multiply by four. Type … Continue reading