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The Story So Far

In Part 1 I ran Discovar, a life sciences genome assembly code, on one of our internal systems and optimized it to run the benchmark code 7% faster. Of course, physical hardware often performs very differently to cloud-hosted machines…

I/O contention is a frustrating problem to solve. An application run may be taking longer than expected, but how do you know if it’s due to I/O contention?

Arm Forge Pro includes I/O metrics for Lustre, but not GPFS. Fortunately Forge Pro also includes…

Advanced Memory Debugger and Memory Leak tool for Linux C++, C and F90

The memory debugger in Arm DDT assists in fixing a number of common memory usage errors with C, C++ and Fortran codes on Linux. The mode extends massively beyond what can be observed…

Debugging and Optimizing CUDA and OpenACC

Arm Forge is a development tool suite for developing, debugging and optimizing CUDA and OpenACC codes - from GeForce to Tesla and the Kepler K80. Forge includes the parallel and multi-process CUDA debugger, Arm…

Arm MAP isn't just a lightweight profiler to help you optimize your code. It also lets you add your own metrics with just a couple of lines of code. To show how this works, I'm going to add PAPI's instructions-per-cycle metric to MAP.

The…

It’s with great excitement that we’re announcing that Allinea is now a part of Arm.

For over 10 years at Allinea we’ve been on an incredible journey to be your cross-platform tools provider for high performance computing (HPC).

It’s…

In the previous post we parallelized Andrej Karpathy's policy gradient code to see whether a very simple implementation coupled with supercomputer speeds could learn to play Atari Pong faster than the state-of-the-art (DeepMind's A3C at time of…

I’ve always enjoyed playing games, but the buzz from writing programs that play games has repeatedly claimed months of my conscious thought at a time. I’m not sure that writing programs that write programs that play games is the perfect solution, but…

In episode one we optimized Torch A3C performance on the new Intel Xeon Phi (Knight's Landing) CPU. Arm MAP and Performance Reports identified bottlenecks in our framework and sped up model training by 7x.

To get further gains we found areas of the…

In February, a new paper from Google's DeepMind team appeared on arxiv. This one was interesting – they showed dramatically improved performance and training time of their Atari-playing Deep Q-Learning network. The training speedup was so great that…

This year we're proud to be sponsoring the Student Cluster Competition at SC15. One of the key codes teams will have to optimize for their systems is the classic Linpack benchmark. I decided to have a go on one of our test systems to see what the students…

A whirlwind tour of Arm MAP's new OpenMP profiling capabilities

We're going to see what Arm MAP 5.0 can do by profiling three versions of a simple PI calculator program with some added I/O for good fun:

• A serial version
• An OpenMP version
• A mixed…

Arm DDT and Arm MAP are excellent tools for finding program flaws and performance issues – they are also very helpful for studying codes and coding techniques. In this article I present a handful of optimization techniques and use Arm MAP to illustrate…