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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

This was a chance to talk about other things I've been working on, such as the present and future of hardware performance. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book. Note that my predictions in this talk may be wrong, but they should be thought provoking. Ford, et al., “TCP

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How It Works: SQL Server 2016 SSE/AVX Support

SQL Server According to Bob

As indicated, SQL Server 2016 added the use of SSE and AVX instructions in various code paths to improve performance. SQL Server asks the CPU if it supports SSE or AVX in order to determine the level of hardware support present on the system. My recent posts. have generated discussions about the SSE and AVX support boundaries.

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SQL 2016 – It Just Runs Faster: DBCC Scales 7x Better

SQL Server According to Bob

SQL Server 2016 changes the internal design to (CheckScanner), applying no lock semantics and a design similar to those used with In-Memory Optimized (Hekaton) objects, allowing DBCC operations to scale far better than previous releases. On the same hardware/machine repeat steps 1 thru 3 using an instance of SQL Server 2016 CTP 3.0

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Synthetic monitoring of internal applications extended to Windows-based ActiveGates!

Dynatrace

This means that those of you who are limited to Windows-only systems can now also enjoy synthetic browser monitoring from private locations. Windows 2016 Server (or a supported Linux distribution ). Windows 2016 Server (or a supported Linux distribution ). Compliance with hardware requirements. What’s next?

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Invited Talk at SuperComputing 2016!

John McCalpin

“Memory Bandwidth and System Balance in HPC Systems” If you are planning to attend the SuperComputing 2016 conference in Salt Lake City next month, be sure to reserve a spot on your calendar for my talk on Wednesday afternoon (4:15pm-5:00pm). McCalpin Presents “Memory Bandwidth and System Balance in HPC Systems”.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. SPU: Stream Processing Unit (SPU) is related to the specialized hardware to process the data streams of video.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP