Ian Hunter

AMD · AIE Architecture Group

Neural networks are sets of algorithms that together can approximate general functions. To approximate a function, the network must first be trained by a framework that can give informed feedback to reinforce correct predictions. As these function approximations can be trained ahead of time, neural networks are often used for work that will have pr...

A graph neural network (GNN) model is used in a scheduling process for compiling a deep neural network (DNN). The DNN, and parameter options for scheduling the DNN, are represented as a graph, and the GNN predicts a set of parameters that is expected to have a low cost. Using the GNN-based model, a compiler can produce a schedule for compiling the...

Dice Notation is a system for describing how to roll collections of dice. It is often used to assist in understanding the rules of games - particularly tabletop roleplaying games (TTRPGs). Existing research software in this space has been primarily designed for other researchers and statisticians despite the fact that a large population of those a...

Optimization for dice rolling software to scale large dice pools in constant time (Non-peer reviewed) Original accessible at: https://beta.briefideas.org/ideas/fc25de499b44d47685188df4d09e144f

Systems, apparatuses and methods may provide for technology that determines a complexity of a task associated with a neural network workload and generates a hardware efficiency estimate for the task, wherein the hardware efficiency estimate is generated via a neural network based cost model if the complexity exceeds a threshold, and wherein the har...

GNOLL ("GNOLL's Not *OLL") is a software library for dice notation. Unlike previous papers, GNOLL's dice notation syntax is focused on parsing a language that tabletop role-players and board gamers are already used to for specifying dice rolls in many popular software applications. Existing implementations of such a syntax are either incomplete, fr...

Calculating the most efficient schedule of work in a neural network compiler is a difficult task. There are many parameters to be accounted for that can positively or adversely affect that schedule depending on their configuration - How work is shared between distributed targets, the subdivision of tensors to fit in memory, toggling the enablement...

Slow internet and high data costs are large barriers to accessing the internet in certain areas of the world. Faster Internet speeds result in increased commercial sales, higher levels of productivity and consumer enjoyment. This study is an investigation into potential alleviations of these costs by reducing data sizes, so that transfer time and...