How can instruction fetch and decode pipeline stages run simultaneously in a CPU with dynamic branch prediction?

I have recently been investigating CPU pipelining and branch prediction and have a question about how exactly these fit together.

If, for example, instructions are meant to be fetched in one stage of the pipeline and decoded in the next while the next instruction is fetched simultaneously, how is it possible for the pipeline to proceed without a stall when dynamic branch prediction is in operation?

As an instruction must be decoded before branch prediction can occur or be deemed unneeded, and as any prediction must be made before the next instruction can be fetched, how can an instruction be decoded while the next instruction is fetched in the same clock cycle?

Ten stages for composing an essay

As opposed to agonizing over a paper for quite a long time, recommend to your kid to peruse these 10 focuses, get in some early readiness and have the self-conviction that they can do it.Read the article question carefully.Finish any important perusing or research as foundation to the essay.Brainstorm thoughts in light of the question.Develop a postulation (thought/contention) that typifies the reaction to the question.Write an arrangement for the response.Write the introduction.Write the…

Ten stages for composing an essay

What does ‘recursion with no explicit stages’ mean in relation to dynamic programming?

I have the following excerpt from one of my assignments, essentially asking me to build on a previous formulation. However, while I can think of improvements, I have no idea if they fit the ‘no explicit stages’ category. Wondering, if anyone knew what that meant?

The colleague has also suggested to you that the deterministic DP approach above is not efficient, and that recursion with no explicit stages (or just 1 stage, if you prefer) may lead to a more efficient algorithm.

Why reverse pipeline stages in cycle-level simulator?

In pipeline simulator exercise, it says that:

Traversing the stages in backwards order simplifies the instruction flow through the pipeline.

Also, in gpgpu-sim source code, the stages are reversed (line 2442):

void shader_core_ctx::cycle() {     m_stats->shader_cycles[m_sid]++;     writeback();     execute();     read_operands();     issue();     decode();     fetch(); } 

Why? What problem it solves? Can anyone elaborate a bit or give a pointer to books/papers on this particular “trick”?

Many thanks!

How to set up a multi-master MongoDB in stages?

Background

We are building a web solution that will be used globally. To support the eventual target audience we are trying to design the solution so that it’s hosted in 3 different data centers. users will be routed to the closest server based on location data.

Having said that, to start, we will only deploy this solution to one datacenter, and only users from North America will have this solution available to them.

Technology Set

MongoDB and RethinkDB have has been short listed for the database. We need something that allows multi-master replication, since we need to be able to read and write to the database from any one of the data centers.

Problem

Management wants something delivered in two weeks. The same usual story. They over committed us… under staffed etc.

I need to come up with a design that’s future proof. I’m not familiar enough with MongoDB yet to be confident that I’ve identified all the pieces that I need to deliver right now, and still be future proof.

What I think I know So Far

I think in MongoDB terminology, each data center is a zone. In the final solution, I will have one zone per data center, and in each zone, I will have a primary shard. So in the North America zone, I will have shard A… and that is it’s primary shard. Shard A will be replicated to the Asia Zone… so that if the north american data center goes down, Asia will have it’s data and can kick in.

I also understand that I need to be careful with the shard keys because once I create them, I can’t change them. So I’m thinking of somehow creating a shard based on location. I will know that a request is coming from japan, I send it the “asia” dc, but if it’s coming from France, it’s gonna hit the European DC.

Specific Questions

I’m reading this article; https://docs.mongodb.com/manual/sharding/. Do I need a mongos router in each data center? What about the config server? If I start with just creating “shard A” in Zone North Am, what priority do i give it? Can I worry about priority later?

I’m still mulling things over so I’m sure there are questions I should be asking that I haven’t even thought of yet. If you have any comments or suggestions, I’m all ears. Thank you

Jenkins Declarative Pipeline – Generating and Passing a Secret Key Through Stages

Our deployment pipeline encrypts our secrets into a file and generates a decrypt key that we bake into our docker images and lambda functions. What is the best way to pass this decrypt key through different stages. I am sure it would work if we write the decrypt key to a file, stash it, and unstash it in each stage. However, it doesn’t feel like a best practice. Especially, if we would like to add more dynamically generated values. I also, tried to create a global environmental variable and update within a sh block but no luck when I accessed it in later stages.