GPUs and flash memory are used in numerous medical applications today and the number is rapidly growing. The need to store and transcribe huge amounts of data through image and data processing is becoming overwhelming. The more GPUs and flash memory available, the quicker the data can be used. GPU appliances supporting multiple NVIDIA GPUs and Intel Phi coprocessors and Flash memory appliances supporting multiple Fusion-io flash memory cards are quickly becoming the best and most economical way of accomplishing this tremendous feat.
There’s a common understanding among medical patients that even if you arrive on time for an appointment, you will be waiting because the doctor is likely to be behind schedule. The same is true for laboratory appointments, especially for procedures such as medical imaging. Most patients are used to long waits before and after appointments as it sometimes takes days to get the results of medical imaging tests. Advancements in technology may soon make waiting a thing of the past.
Algorithms and calculations used in image processing can benefit from the parallel processing power of NVIDIA GPUs. This means that imaging processing systems that use GPUs can process images in half the amount of time as traditional systems. Phillips Medical uses One Stop Systems' products to link from their image processing server to their CT scanner accelerator hardware in order to process images faster.
A single host system with a few GPUs is considerably cheaper than the traditional 16-core cluster system. By using NVIDIA’s GPU computing technology, medical imaging techs can perform a scan and allow the radiologist to see the results within a 30-minute patient visit. The cuts down the amount of waiting patients have to do after an imaging lab.
Bioinformatics as a Whole
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Bioinformatics develops and applies computationally intensive techniques to understand biological processes. Without technology, certain aspects of bioinformatics would not be practical or possible. For example, comparing multiple protein sequences by hand is impractical and annotating genomes is impossible because most genomes are too large to annotate by hand. But now that technology is as advanced as it is, bioinformatics can greatly benefit from GPU acceleration and Flash Storage. GPU-BLAST, MUMmerGPU and BarraCUDA are three applications that can benefit from GPU acceleration.
Bioinformatics in Medicine
There are many different applications in which the field of bioinformatics is used, including medicine. Bioinformatics enables advances such as drug discovery, diagnostics and disease management. The methods of bioinformatics can be applied to diagnose cancer sub-types, predict survival time of cancer patients, identify the mode of action of candidate drugs, model protein binding, and model drug target properties. It’s possible, that in the future, doctors will be able to perform a genomic analysis on cancer patients and the results of that analysis will help them determine the drug treatment that will be the most effective for that particular patient. Speeding up bioinformatics with GPUs will hopefully help advance the field for the benefit of all.
One of the branches of simulation technology is medical simulation. It is used in the education and training in various medical fields. Medical simulation was originally intended to be used to train medical professionals so that there is less chance of accidents during surgery, the prescription of medication and medical practice in general. However, it is more widely used now, both to train medical students in anatomy and physiology during medical school, and for professionals in nursing, sonography, pharmaceutics, and physical therapy.
Simulations, especially in a field as complex as the medical industry, require high tech equipment in order to make the simulations as accurate and precise as possible. When it truly is a matter of life and death, precision is incredibly important. To achieve the best performance possible, GPUs are the best way to get high performance without adding a lot of additional hardware. Many servers today don’t have the room, power or cooling to accommodate high end GPUs. The One Stop Systems GPU accelerator can fit anywhere from 1-16 GPUs to add performance.
Medical simulations require large amounts of data to portray an accurate approximation. Considering the complexity of the human body and sheer amount of various surgeries, diseases and reactions to medications that can be simulated, a simulation system would need a lot of storage to store all of the data. The One Stop Systems Flash Storage Array can provide not only large amounts of storage but specifically fast storage.
Our compute accelerators support from one to sixteen double-wide PCIe cards and can be cabled up to four host computers through PCIe x16 Gen3 connections each operating at 128Gb/s. The all-steel construction chassis house power supplies, fans, and a system monitor that monitors the fans, temperature sensors and power voltages. Front panel LEDs signal minor, major or critical alarms. The compute accelerators are transparent and do not require software except for the drivers required by the PCIe add-in cards. Compute accelerators are the best appliance for applications that require a large amount of compute power.Learn More
Our flash storage arrays support from one to thirty-two single-wide PCIe cards and can be cabled up to four host computers through PCIe x16 Gen3 connections each operating at 128Gb/s. The light-weight, compact chassis house power supplies, fans, and a system monitor that monitors the fans, temperature sensors and power voltages. Flash storage arrays are the best appliance for applications that require a large amount of fast, flexible storage.
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