rajesh-s

rocprof -i input.xml --timestamp on --basenames on --stats

input.xml

List of metrics

<metric name=TCC_HIT[0],TCC_HIT[1],TCC_HIT[2],TCC_HIT[3],TCC_HIT[4],TCC_HIT[5],TCC_HIT[6],TCC_HIT[7],TCC_HIT[8],TCC_HIT[9],TCC_HIT[10],TCC_HIT[11],TCC_HIT[12],TCC_HIT[13],TCC_HIT[14],TCC_HIT[15],TCC_MISS[0],TCC_MISS[1],TCC_MISS[2],TCC_MISS[3],TCC_MISS[4],TCC_MISS[5],TCC_MISS[6],TCC_MISS[7],TCC_MISS[8],TCC_MISS[9],TCC_MISS[10],TCC_MISS[11],TCC_MISS[12],TCC_MISS[13],TCC_MISS[14],TCC_MISS[15],TCC_EA_RDREQ[3],TCC_EA_RDREQ[4],TCC_EA_RDREQ[5],TCC_EA_RDREQ[6],TCC_EA_RDREQ[7],TCC_EA_RDREQ[8],TCC_EA_RDREQ[9],TCC_EA_RDREQ[10],TCC_EA_RDREQ[11],TCC_EA_RDREQ[12],TCC_EA_RDREQ[13],TCC_EA_RDREQ[14],TCC_EA_RDREQ[15],TCC_EA_WRREQ[0],TCC_EA_WRREQ[1],TCC_EA_WRREQ[2],TCC_EA_WRREQ[3],TCC_EA_WRREQ[4],TCC_EA_WRREQ[5],TCC_EA_WRREQ[6],TCC_EA_WRREQ[7],TCC_EA_WRREQ[8],TCC_EA_WRREQ[9],TCC_EA_WRREQ[10],TCC_EA_WRREQ[11],TCC_EA_WRREQ[12],TCC_EA_WRREQ[13],TCC_EA_WRREQ[14],TCC_EA_WRREQ[15] >

rajesh-s

Reference to get around

Fast transfers over the network

# Step 1: Create compressed archive
tar -I zstd -cf data_backup.tar.zst /source/directory

# Step 2: Transfer
rsync -avhP user@remote_host:/destination/ data_backup.tar.zst

rajesh-s

$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
$ sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

rajesh-s

git config credential.useHttpPath true

rajesh-s

# Thanks to Job Vranish (https://spin.atomicobject.com/2016/08/26/makefile-c-projects/)
TARGET_EXEC := final_program

BUILD_DIR := ./build
SRC_DIRS := ./src

# Find all the C and C++ files we want to compile
# Note the single quotes around the * expressions. Make will incorrectly expand these otherwise.
SRCS := $(shell find $(SRC_DIRS) -name '*.cpp' -or -name '*.c' -or -name '*.s')

rajesh-s

gem5

• Getting started with gem5
  • How to build?
  • What is gem5?

Getting started with gem5

The gem5 simulator is most useful for research when you build new models and new features on top of the current codebase. Thus, the most common way to use gem5 is to download the source and build it yourself. Reference

rajesh-s

`timescale 1ns/1ps
module module_name();

/* Wire taps from design */
wire a    = instace_top.sub_module_top.signal;

/* Other declarations used within the checker module */
int limit_count = 0;
bit chk_stop = 1'b0;
bit chk_start = 1'b1;

rajesh-s

To log in remotely, you must first log out your local session. You can do that by logging in via SSH and running the command 'loginctl'.

Look for the 'seat0' session with your username and run 'loginctl terminate-session ' using that Session number.

rajesh-s

docker run -w /root -it accelsim/ubuntu-18.04_cuda-11 /bin/bash
git clone -b release-accelwattch https://github.com/accel-sim/accel-sim-framework/
cd /usr/local/cuda-11.0/
ln -s cuda-11.0 cuda-11
cd -
cd accel-sim-framework
export PATH=$CUDA_INSTALL_PATH/bin:$PATH
git clone https://github.com/accel-sim/gpu-app-collection  
source ./gpu-app-collection/src/setup_environment 

rajesh-s

Install docker https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-20-04

# Running containers
docker ps
# Copying files
docker cp containerId:source_path destination_path
# Access other cmd as user
sudo chmod 666 /var/run/docker.sock