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The division by a power of two ( / (2 N )) can be implemented as a right shift if we are working with unsigned integers, which compiles to single instruction: that is possible because the underlying hardware uses a base 2. Thus if 2 N / d has been precomputed, you can compute the division n/d as a multiplication and a shift. Can we do better?
From the form of the equation the units are GB/s * ns = Bytes, but to understand how this maps to computer hardware resources it is almost always more convenient to translate this to units of “cache lines” (with 64 Bytes per cache line in the processors reviewed here). The same is true for software prefetches.)
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%
To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). and we may have been flying close to the edge of hardware cache warmth, where adding a bit more instructions caused a big drop.
Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. Since CPU and IO consumption translate directly to server hardware and cloud spend, this is significant. Most Queries Don't Wait.
Now welcome to the hardware jungle. From 1975 to 2005, our industry accomplished a phenomenal mission: In 30 years, we put a personal computer on every desk, in every home, and in every pocket. In 2005, however, mainstream computing hit a wall. The free lunch is over. Galaxy S II, Droid X2, iPhone 4S). There’s no going back.
Compare that to the relatively robust period of 2005 , when real interest rate curves were positive. Labor productivity improvement was so great compared to the hardware and software costs, interest rates had no discernible effect. In real terms, interest rates are still negative for 5 and 10 year horizons.
My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. Bob Dorr – Principal SQL Server Software Engineer. Follow-up.
From the form of the equation the units are GB/s * ns = Bytes, but to understand how this maps to computer hardware resources it is almost always more convenient to translate this to units of “cache lines” (with 64 Bytes per cache line in the processors reviewed here). The same is true for software prefetches.)
Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%
As the administrator of a SQL Server 2005 installation, you will find that visibility into the SQL Server I/O subsystem has been significantly increased.
CSA ISO/IEC 9945-1:2005 (R2009) 3.375 Synchronized I/O Data Integrity Completion. Refer to the ISO documentation on file integrity for complete details: CSA ISO/IEC 9945-1:2005 (R2009) 3.376 Synchronized I/O File Integrity Completion. Linux may need similar utilities to control various hardware cache installations. Device Flush.
The oldest change in the entire Linux repo dates back to 2005, when Linus imported Linux 2.6.12-rc2, I generated this using my offcputime tool from [bcc] (this tool needs eBPF features from Linux 4.8+), and my [flame graph] software: #./bcc/tools/offcputime.py This, too, was a dead end. rc2, and this change predates that.
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