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Back-to-Basics Weekend Reading: Deep learning in neural networks

All Things Distributed

In the past few years, we have seen an explosion in the use of Deep Learning as its software platforms mature and the supporting hardware, especially GPUs with larger memories, become widely available. Instead, we will be reading an excellent overview paper by Jürgen Schmidhuber of IDSIA from 2014. 2014.09.003).

Network 109
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What is function as a service? App development gets FaaS and furious

Dynatrace

Cloud providers then manage physical hardware, virtual machines, and web server software management. The FaaS model of cloud computing debuted in 2014 with startups like hook.io. Infrastructure as a service (IaaS) handles compute, storage, and network resources. But how does FaaS fit in?

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What is cloud application security?

Dynatrace

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications? These alerts tend to slow down development.

Cloud 176
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? Customizing and connecting these services requires code.

Lambda 179
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AWS EC2 Virtualization 2017: Introducing Nitro

Brendan Gregg

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%

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. They use the graph as the basic representation for many AI-related algorithms, including neural network, Bayesian network, Markov Field, and some other emerging methods. HPU1 with TSMC 28nm process was announced in HOTCHIPS’17.