Discover and read the best of Twitter Threads about #cpu

Most recents (7)

[1/🧵] You've heard of @XummWallet but aren't sure if you can #trust its #security?

You'll learn about @cossacklabs' most recent security assessment and why the #XUMM #wallet strives to maintain the highest security standards.

Follow along in this "all-in-one security 🧵" 👇 Source: https://dev.to/wiet...
[2/24] — Outline —
🔸 Basic Introduction
🔸 Hot #Wallet Fundamentals
🔸 #XUMM Wallet Security
🔸 #Security Audit (18.05.2023)
🔸 XUMM @Tangem Cards
🔸 #Tangem Card Facts Source: https://www.gagan.p...
[3/24] — Basic Introduction —

After hearing the news of #Ledger willingly integrating a 🔑-extraction mechanism into their FW if opted-in, I decided it was time to review #XUMM + @Tangem

This 🧵 is not sponsored in any way, & all of my praise comes from the bottom of my ❤️ Source: https://www.ledger....
Read 25 tweets
DeepSquare integrates the neural network #text2image model #StableDiffusion.

This thread presents how we #designed and implemented the #workflow to execute Stable Diffusion on the DeepSquare Grid.
We designed the workflow as follows:

The #prompt is sent over an environment variable.
Most of the parameters are sent via environment varibles.
Images are sent to transfer.deepsquare.run
The docker image is already compiled from github.com/Stability-AI/s… and is exported as registry-1.deepsquare.run/library/stable…

The steps are as follows:
1-Generate the images. Rows are distributed into task per #GPU.
2-Combine all the images into one grid. Image
Read 8 tweets
[1/🧵] I've been reading a lot about #XRPL #scalability recently.

Let me quickly go through how #XRPL performs and #scales on these metrics:

▶️ Scale up "vertically"
▶️ Scale out "horizontally"
▶️ High volume & High value TX
▶️ High value & Low speed Source: https://ripple.com/insights/building-a-more-sustaina
[2/17] 👉 Asynchronous TX speed—Scale up "vertically"

In contrast to #DAG-based systems, which operate in "chaotic order" and execute transactions in parallel, the #XRPL validates transactions in canonical transaction order—one Ledger at a time.

🔗 bitcoin.stackexchange.com/questions/7857…
. . .
[3/17] . . .

❓ The approach for #DLT/#Blockchain-based systems such as #XRPL:
☑️ "Payment Channels"

🧐 It's a sophisticated feature for transmitting "asynchronous" #XRP #payments that may be broken into extremely small amounts and paid in total order afterwards.
. . . Source: https://ripple.com/insights/amendments-ensuring-sens
Read 19 tweets
1/ We've been working on Exactly that, for some time now. While the general idea is nice and correct...

Leveraging existing GPU mining infra to do ZK is in fact FAR from straight forward.

Time for a thread!🧵👇
2/ GPU mining was dominated by #Ethereum mining which is now, post merge, no longer possible.

So we came up with the idea of helping the community repurpose their GPUs for ZK compute a few weeks ago...

3/ ...and we got CRAZY demand.

Which took us completely by surprise! (surely, we thought, miners with tens of thousands of GPUs had a plan B for after the merge, right? well no.. but that's another story to tell)
Read 14 tweets
Pour les 50 ans de la #CPU @FranceUniv, et à l'angle du changement climatique, j'ai souligné 4 points, sur la base du rapport du GIEC sur les bases physiques du changement climatique :

ipcc.ch/report/AR6/WG1
(1/6)
Sur les 1,1°C de réchauffement dû à l'influence humaine (entre 1850-1900 et la dernière décennie), un réchauffement de 0,85°C a eu lieu au cours des derniers 50 ans.

(2/6) Image
Sur les 2500 milliards de tonnes de CO2 émises depuis 1750, 1500 ont été rejetées rien qu'au cours des derniers 50 ans.

(3/6) Image
Read 6 tweets
Two large #antitrust probes in the same screenshot that relate to #Genomics and #Bioinformatics
(1) Possible buyout of #ARM by #NVIDIA does have an effect on the #Bioinformatics field: many applications now are deployable on CPU/GPUs with #ARM and/or #NVIDIA chips on them. Some recent examples are:
(a) the Oxford @nanopore MinION Mk1c device, which originally was specced at Jetson TX2 ARM+Pascal GPU accelerators (ARM processor 6 cores, 256 Core GPU), 8 GB RAM (may have changed since then.
Read 42 tweets
Bir yazılım geliştiricinin bilmesi gerekenlerle ilgili 15 maddelik flood geliyor.. Mümkün olduğunca fazla keywordü bir araya toplamaya çalıştım.
Hadi Başlıyoruz!

#Developer #Software #Java #code #kod #yazılım #development #computer #bilgisayar #tool #PC #IT #web #tech #data
1-Temel veri yapıları (linkedList, map, tree vb) ve temel algoritmalar (sıralama, arama vb)

Sıfırdan kodlama ihtiyacınız büyük ihtimalle hiç olmayacak. Ancak ihtiyaç anında doğru yerde doğrusunu seçebilmek için o veri yapısının veya algoritmanın nasıl çalıştığını bilmeniz şart
2- Network Temelleri

OSI Modelini ve 7 katmanı; temel protokolleri(#TCP-IP, TCP-UDP, #HTTP, #FTP), güvenlik protokollerini(#HTTPS, #SFTP, #SSL), monitoring protokolleri(#SNMP, ICMP) bilmekte fayda var. Ayrıca ağ ekipmanlarının görevlerini tanımak ve 7Layer yerlerini bilmek lazım
Read 16 tweets

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