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[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]Re: [tlug] Making better use of SSDs?
- Date: Tue, 29 May 2012 15:37:19 +0900
- From: Satoshi Nagayasu <satoshi.nagayasu@example.com>
- Subject: Re: [tlug] Making better use of SSDs?
- References: <CAAhy3dvn+qbsmNqEpDFo_HSaJsVete79XF3niyy7EcEFpJ8ajw@mail.gmail.com> <CAPdYK_Wki25RVp1NCMpiYKii2P_xyr1dmLZDTWzZbf8LAZxfEw@mail.gmail.com> <4FC399AA.9060105@gmail.com>
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Hi Raymond, 2012/05/29 0:28, Raymond Wan wrote:On Monday, May 28, 2012 05:15 PM, satoshi.nagayasu@example.com wrote:I recommend #1 option, and have your own experiments to examine whether SSD benefits your system performance....Generally speaking, it's safe to say SSD would increase the performance. But practically, you need to determine a type of workload (or a bottleneck of workload) that you're running. And it's really fun! :)That is true. Actually, the software we are considering are neither database systems nor Unix tools like 'sort'. Sorry for mentioning them in my original post -- they weren't meant to mislead any of you, but to generalize my question. The software we are using are actually bioinformatics tools. While there are many users, the user base is still tiny compared PostgreSQL. So, there aren't many benchmarks that look into how they perform with combinations of HDDs and SSDs.Sounds pretty cool. I built a distributed BLAST system, one of the most popular software in bioinformatics for similarity search in genome database, for my master thesis in grad school. It was really fun! :) BLAST is a kind of software that has large amount of I/O operations, particularly sequential read. If you're using similar software, I recommend you to use SSD with multi-core CPU to execute multiple queries at once. You will be able to take advantage of SSD in terms of throughput (not a single query response), because executing multiple sequential reads would (theoretically) act as random read within a single spindle (hard drive). Regards, -- NAGAYASU Satoshi <satoshi.nagayasu@example.com>
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