Video Encoding on Arm64
327 | Fri 02 Aug 2 p.m.–2:45 p.m.
Presented by
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John has extensive software development experience focusing on performance optimization especially on new hardware platforms with deep knowledge of the software development toolchain and architecture. John has given numerous presentations at international computing and scientific conferences, is the primary author of 7 scientific publications, co-author of over 200 peer reviewed publications, and contributed to several books. John holds a Ph.D. in physics from the University at Albany.
John has extensive software development experience focusing on performance optimization especially on new hardware platforms with deep knowledge of the software development toolchain and architecture. John has given numerous presentations at international computing and scientific conferences, is the primary author of 7 scientific publications, co-author of over 200 peer reviewed publications, and contributed to several books. John holds a Ph.D. in physics from the University at Albany.
Abstract
This session provides a brief overview on video encoding and why it's critically important due to the exponential increase in online video. Video encoding on Arm64 processors provide outstanding performance and are very power efficient. The talk will compare running video encoding on Arm64 with legacy x86 processors as well as hardware-based Video Processing Units (VPU). The Arm64 video encoding ecosystem is very active and recent performance improvements will be highlighted. Future directions in Arm64 based video processing ecosystem will also be discussed.
This session provides a brief overview on video encoding and why it's critically important due to the exponential increase in online video. Video encoding on Arm64 processors provide outstanding performance and are very power efficient. The talk will compare running video encoding on Arm64 with legacy x86 processors as well as hardware-based Video Processing Units (VPU). The Arm64 video encoding ecosystem is very active and recent performance improvements will be highlighted. Future directions in Arm64 based video processing ecosystem will also be discussed.