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FIRRTL

Summary

Link to FIRRTL specification here

All FIRRTL circuits consist of a list of modules. Each module as a name, list of ports, and statements.

Types are used to specify the structure of data. Here are examples:

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Haskell Notes

Installation

# install Haskell compiler
sudo apt install -y ghc
# manual instally to /usr/local/bin
curl -sSL https://get.haskellstack.org/ | sh

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Link to book: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1491962291

Chapter 1

ML is the field of study that gives computers the ability to learn without being explicitly programmed.

A spam filter based on ML techniques automatically learns which words and phrases are god predictors of spam by blocking unusually frequent pattern of words.

A second example where ML shines is for problems that are either too complex or have no known algorithm; speech recognition, for example.

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Getting started

• Clone repositories

https://llvm.org/docs/GettingStarted.html

% cd llvmrepos
% git clone https://git.llvm.org/git/llvm.git/
% git config branch.master.rebase true

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Atom editor

Installation

From https://flight-manual.atom.io/getting-started/sections/installing-atom/:

curl -sL https://packagecloud.io/AtomEditor/atom/gpgkey | sudo apt-key add -
sudo sh -c 'echo "deb [arch=amd64] https://packagecloud.io/AtomEditor/atom/any/ any main" > /etc/apt/sources.list.d/atom.list'
sudo apt-get update

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Install

$ sudo apt-get install git
$ sudo apt-get install default-jdk # OPTIONAL
$ wget https://gerrit-releases.storage.googleapis.com/gerrit-2.15.5.war
$ java -jar gerrit-2.15.war init --batch -d ~/gerrit

https://www.digitalocean.com/community/tutorials/how-to-install-gerrit-on-an-ubuntu-cloud-server

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UVM Basics

UVM employs a layered, object-oriented approach to testbench development.

uvm_sequence_item is a uvm_object that contains data fields to implement protocols and communicate with with DUT. uvm_driver is responsible for converted the sequence item(s) into "pin wiggles". The sequence_item(s) are provided by one uvm_sequence objects that define stimulus at the transaction level and execute on the agent's uvm_sequencer component. The sequencer is responsible for executing the sequences, arbitrating between them, and routing sequence items between the driver and the sequence.

UVM agents have a configuration object that allows the test writer to control how the testbench is assembled and executed.

Components

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Theory

What doesn't get measured might not get done.

• Covergroup should be wrapped in a class:

class my_cg_mon extends uvm_subscriber #(my_txn);

 covergroup my_cg;

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Notes

• Start Ubuntu at command line

Edit /etc/defaults/grub.

#GRUB_CMDLINE_LINUX_DEFAULT="splash quiet"
GRUB_CMDLINE_LINUX="3"

sudo update-grub

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I used to work on Rock. Getting around to re-read some papers on it.

SST: A Novel Architecture Implemented in Sun's ROCK Processor

SST hardware dynamically extracts two threads of execution from a single sequential program. SST uses an "efficient" checkpointing mechanism to eliminate the need for renaming logic, reorder buffer, memory disambiguation, issue windows, etc.

SST uses a traditional multithreaded pipeline with an additional mechanism to checkpoint the register file.

SST implements two hardware thread (ahead and behind). Ahead thread speculatively executes under a cache miss and speculatively retires instructions out of order. A behind thread executes instructions dependent on the cache miss.