Hardware, systems and algorithms research communities have historically had different incentive structures and fluctuating motivation to engage with each other explicitly. This historical treatment is odd given that hardware and software have frequently determined which research ideas succeed (and fail). This essay introduces the term hardware lottery to describe when a research idea wins because
GitHub - danielealbano/cachegrand: cachegrand - a modern data ingestion, processing and serving platform built for today's hardware
cachegrand is a high-performance key-value store designed to optimize performance on modern hardware. It offers efficient data handling, processing, and retrieval capabilities through standard protocols and APIs. With its impressive scalability, cachegrand can handle millions of operations per second, all completed in less than a millisecond. Underneath its robust architecture, cachegrand employs
ライブ配信アプリ「OBS Studio」の今後のアップデートでApple Silicon Macでも「Apple VT H264 Hardware Encoder」が利用可能になるもよう。
ライブ配信アプリ「OBS Studio for Mac」の今後のアップデートでApple Siliconの「Apple VT H264 Hardware Encoder」が利用可能になるようです。詳細は以下から。 Appleが2021年11月に発表したApple Silicon M1チップには、Apple T2チップ同様ハードウェア・エンコード/デコードエンジンが搭載され、既にScreenflowなどがH.264 H/Wエンコードを利用していますが、OBS Projectがオープンソース開発しているライブ配信アプリ「OBS Studio」のMac版も次期アップデートで、「Apple VT(VideoToolbox) H264 Hardware Encoder」をサポートする計画のようです。 ID3v2.4(@polamjag)さんが立てたIssue (#4170)によると、OBS Stud
A look inside the AWS lab where retired data center hardware gets a second chance
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It's targeted at business professionals, but consumers can use it too. One of the biggest success stories to come out of this pandemic is the video-conferencing company Zoom. As many of us transitioned to working from home, Zoom saw its user base grow exponentially. According to a recent earnings report, it went from 10 million daily users in December 2019 to over 300 million in April 2020. Now, t
Why doesn’t Japan excel in software as they did in hardware?
Answer (1 of 25): Ah… Finally. My time has come. Where to begin? In Japan software development is not held to the same standard as other engineering positions. Japan has always had a custom where every year, new university graduates in their thousands march through giant career fairs searching...
Deep learning recommendation models (DLRMs) are used across many business-critical services at Facebook and are the single largest AI application in terms of infrastructure demand in its data-centers. In this paper we discuss the SW/HW co-designed solution for high-performance distributed training of large-scale DLRMs. We introduce a high-performance scalable software stack based on PyTorch and pa
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The Hardware Lottery
Zoom launches a line of hardware for home use
Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models