[Memory cache] Does the miss rate apply to all instructions, or just memory access instructions? Computer Science |
- [Memory cache] Does the miss rate apply to all instructions, or just memory access instructions?
- 100 days of ML
- Asymmetric Encryption
- AI & Machine Learning Toolkit Bundle from Morgan & Claypool
- Salesforce DX - Spinning Up a new scratch org
- Can't recall origin of conference talk
- Logic 101. From Thought to Language and Back Again.
| [Memory cache] Does the miss rate apply to all instructions, or just memory access instructions? Posted: 07 Oct 2021 06:57 PM PDT I'm learning about cache memory and my prof isn't very clear about this. Say the miss rate is 2.9%, and 20% of the instructions are data transfer instructions. Does this 2.9% apply to all instructions? Or does it apply specifically to the 20% that consist of data transfer instructions? I would think it would apply to the 20%, which would mean that 2.9% * 20% = 0.58% are cache misses, while 99.42% are either non data transfer instructions, or are data transfer instructions that don't miss. [link] [comments]  |
| Posted: 08 Oct 2021 12:35 AM PDT Join me on #100DaysOfML and follow along to learn machine learning! Day 3 metrics to used in ML classification #datascience #python #machinelearning #machinelearning #AI #kaggle #deeplearning #artificialintelligence [link] [comments]  |
| Posted: 08 Oct 2021 03:40 AM PDT Why Asymmetric Cryptography does "need data smaller than its key length "? I mean why asymmetric encryption data is bad for huge data? [link] [comments]  |
| AI & Machine Learning Toolkit Bundle from Morgan & Claypool Posted: 08 Oct 2021 03:33 AM PDT |
| Salesforce DX - Spinning Up a new scratch org Posted: 08 Oct 2021 01:33 AM PDT |
| Can't recall origin of conference talk Posted: 07 Oct 2021 05:25 AM PDT I'm trying to find an older conference talk I once saw on YT, that I can't seem to find anymore. Maybe it rings a bell for someone: The talk was mainly about the "virtual speed up" of parts in a concurrent system. I.e. to slow down all other parts of a system by some factor, to determine which parts of a system are going to contribute the most to reduced overall runtime. Iirc one of the examples they gave is that this method made them find out that some open source library could be considerably improved by optimizing some hash function, which they proceeded to do by changing a single character, resulting in like 10-20% performance increase. [link] [comments]  |
| Logic 101. From Thought to Language and Back Again. Posted: 07 Oct 2021 12:22 PM PDT |
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