Processors and Performance

October 15, 2003 | Two factors determine the raw performance of a computer's central processing unit:

Bit size — the amount of data that can be operated on at any given time. Intel's Pentium processor supports 32-bit operations, whereas the Itanium supports 64-bit operations. Operations performed on the data are relatively simple and include addition, subtraction, or retrieving data from memory.

Processor clock speed — a measure of the rate at which the CPU performs its operations. Modern high-end computers tout clock speeds of 1 GHz to 2 GHz.

Theoretically, the raw performance of a 1GHz 32-bit processor is double that of a 500MHz 32-bit processor. However, architectural factors, such as the type of cache memory and the bandwidth of the connections between the CPU and the memory, significantly affect a system's overall performance.

Computational clusters that use 64-bit servers as nodes have many hardware and software components that work together. The interaction between them determines how fast an application, such as a database search, will run. The key to getting the highest performance from 64-bit systems lies in fine-tuning the interplay between these components. 


Back to The 64-Bit Question 




White Papers & Special Reports

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Managing the Modern Genomics Data Flood
Sponsored by SGI

Managing and storing the perfect storm of multi-disciplined data pouring from next generation sequencers and other omics instruments is a central challenge in life sciences. Discover in this paper how the SGI ArcFiniti storage solution, optimized for unstructured genomics and life sciences data can: 

  • Reduce costs, proactively protect data integrity, and deliver the high performance I/O required for genomics data processing and analysis.  
  • Effectively manage capacities from 156TB to 1.4PB as a disk based, integrated hardware and software platform 


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Turning Genomics Data into Practical Insight
Sponsored by SGI

With worldwide sequencing capacity approaching 13 quadrillion DNA bases annually turning genomics data into knowledge is a true computational challenge. Read this paper and learn how the SGI UV coherent shared memory platform can:  

  • Speed results time while cost competitively tackling the most difficult computational problems across all omics disciplines. 
  • Push performance by scaling to extraordinary levels, up to 256 sockets (2,560 cores, 4,096 threads) per single system (one OS image). 

Provide support for up to 16TB of coherent shared memory in a single system image enabling extreme efficiency across a wide range of compute demands. 



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New Complimentary Market Survey…
Collaborations and Communications Within Drug Discovery Research
Sponsored by Accelrys
This survey was conducted by the Cambridge Healthtech Media Group in January, 2012. It was sponsored by Accelrys related to their HEOS initiative to gather valid information around externalizing collaborative research while improving communications in the cloud. With 310 qualified industry respondents the survey findings reveal useful usage and trends patterns.  An insightful follow-on discussion and webinar related to this survey, and the HEOS by Scynexis SaaS portal is also available on the Bio-IT World website for complementary viewing.
 


Job Openings

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Scientific Software Engineer
Boston MA
$70,000 to $95,000
 
Apply at http://jobs.tessella.com   

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Early Access Collaborations ManagersClick here to find out more and apply   

Oxford Nanopore's GridION technology, VP, Sales and Marketing Click to  Apply  

For reprints and/or copyright permission, please contact  Tim McLucas, (781) 972-1342, tmclucas@healthtech.com .