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Chris Seymour at $ONT.L Oxford @nanopore tweets about Apple Silicon's AMX instruction set. A mysterious set of instructions now beginning to be mapped out by a group of volunteer developers. So what does Apple Silicon mean for #Bioinformatics?
As many will know, $AAPL Apple came up with their own silicon a few years ago, a branch off the @ARM 64-bit designs, of which they've been diverging ever since. The Apple M1 and M2 cores have been thoroughly reviewed in social media, but less from the optics of #Bioinformatics.
First of all, what reason did @Apple have to design their own silicon? Could they not just have adopted an @ARM design and stick to it? Well, the history of the company is full of examples of Apple wanting to do "their own thing" rather than integrating someone else's silicon...
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⏱️ Just ten more days until the release of @java 17, the next version with long-term support! To shorten the waiting time a bit, I'll do one tweet per day on a cool feature added since 11 (previous LTS), introducing just some of the changes making worth the upgrade. Let's go 🚀!
🔟 Ambigous null pointer exceptions were a true annoyance in the past. Not a problem any longer since Java 14: Helpful NPEs (JEP 358, openjdk.java.net/jeps/358) now exactly show which variable is null. A very nice improvement to #OpenJDK, previously available only in SAP's JVM. Image
9⃣ Varying load and new app instances must be started up quickly? Check out class-data sharing (CDS), whose dev exp has improved a lot with JEP 350 (Dynamic CDS Archives, Java 13); also way more classes are archiveable since Java 15. More details here: morling.dev/blog/smaller-f… Image
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