Multi-report view with horizontal and vertical layouts to aid multi-node VM, container, rank, and process investigationsĪvailable for profiling directly on Linux workstations and servers, including the NVIDIA DGX line, or remotely from a variety of hosts: Windows, Linux, or MacOSX.NVIDIA NIC Infiniband metrics sampling (experimental).Expert system GPU utilization analysis now includes OpenGL.Improvements for remote profiling over SSH.NVIDIA NIC metrics sampling improvements.System-wide CPU backtrace sampling and CPU context switch tracing on Linux.Vulkan graphics pipeline library extension.Learn about Nsight Systems on your platform: NVIDIA Nsight Systems can even provide valuable insight into the behaviors and load of deep learning frameworks such as PyTorch and TensorFlow allowing users to tune their models and parameters to increase overall single or multi-GPU utilization. It is designed to scale across a wide range of NVIDIA platforms such as: large Tesla multi-GPU x86 servers, Quadro workstations, Optimus enabled laptops, DRIVE devices with Tegra+dGPU multi-OS, and Jetson. Users will be able to identify issues, such as GPU starvation, unnecessary GPU synchronization, insufficient CPU parallelizing, and even unexpectedly expensive algorithms across the CPUs and GPUs of their target platform. Unbiased activity data is visualized within the tool to help users investigate bottlenecks, avoid inferring false-positives, and pursue optimizations with higher probability of performance gains. GTKWave is another option, but it's a bit clunky.NVIDIA Nsight Systems is a low overhead performance analysis tool designed to provide nsights developers need to optimize their software. I use SCons with SConstruct files that look something like this: import os You could use Make, the quintessential build tool, which you get with Apple's "Command Line Tools", or any one of the plethora of other options. bash_profile (which is executed for every new Terminal session on OS X): export CXX="clang++ -fcolor-diagnostics"Įxport SYSTEMC_HOME=~/Work/Other/systemc-2.3.1 I define two environment variables in my. There are many ways you can do this I have a simple approach that I believe is close to what the SystemC maintainers envisioned. The -with-arch-suffix= option prevents a -macos圆4 suffix being add to the lib folder name, allowing your build scripts to be simpler.Īfter that process, the salient include and lib folders should be available within the systemc-2.3.1 folder. Open Terminal, change into the extracted folder ( systemc-2.3.1), and execute: $ mkdir build However, you can put it wherever you like. That's where I keep source code for third party libraries. Therefore, I move the extracted folder ( systemc-2.3.1) into ~/Work/Other. I like to keep a copy of the SystemC source code available, because it can be useful for debugging or understanding how something works. After that, you'll have make, clang and more available at the command line.īuild and install Accellera's SystemC implementationĭownload the latest release from the Accellera Downloads page (annoyingly, you'll have to provide a few personal details) and extract the contents of the. Install Apple's "Command Line Tools" by launching Terminal, entering $ xcode-select -install If your goal is simply building SystemC applications at the command line, then I recommend the latter. You have two options: install Xcode (a big download), or just the command line tools (a much smaller download). The other answer is correct and perfectly fine, however, I thought I'd also answer and provide a little more detail.
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