Recent & Upcoming Talks

2019

SC 2019 - Across-Stack Profiling and Characterization of State-of-the-Art Machine Learning Models on GPUs

The past few years have seen a surge of using Machine Learning (ML) and Deep Learning (DL) algorithms for traditional HPC tasks such as …

Developing in the Wolfram Compiler

The Wolfram Language is a dynamic untyped language that has a 30-year history. The talk will describe current work in developing a …

HotChips 2019 - MLModelScope: Evaluate and Profile ML Models at Scale and Across Stack

The current landscape of Machine Learning (ML) and Deep Learning (DL) is rife with non-uniform frameworks, models, and system stacks …

Tutorial at ASPLOS 2019 - Benchmarking Deep Learning Systems

The current landscape of Machine Learning (ML) and Deep Learning (DL) is rife with non-uniform models, frameworks, and system stacks. …

GTC 2019 - MLModelScope: Evaluate and Measure Machine Learning Models

The current landscape of Machine Learning (ML) and Deep Learning (DL) is rife with non-uniform frameworks, models, and system stacks …

2018

Wolfram Compiler Advances

In this talk we will show case new features and techniques developed for the Mathematica compiler. We will show how the compiler …

MLModelScope: Introspect and Manage your ML Models (Best Poster)

The emergence of Machine Learning (ML) and Deep Learning (DL) algorithms as a viable programming model has inspired plenty of …

2016

Document Introspection System for CognitiVe Research: An Open Application for Cognitive Computing Workload Exploration

The traditional process of software development has revolved around the development, testing, and deployment of monolithic …