26 citations · 42 across the 8 of their papers we have counts for
4 papers · 1 filter
TensorFlow as a DSL for stencil-based computation on the Cerebras Wafer Scale Engine
Nick Brown, Brandon Echols, Justs Zarins +1
The Cerebras Wafer Scale Engine (WSE) is an accelerator that combines hundreds of thousands of AI-cores onto a single chip. Whilst this technology has been designed for machine lea…
Extracting Clean Performance Models from Tainted Programs
Marcin Copik, Alexandru Calotoiu, Tobias Grosser +3
Performance models are well-known instruments to understand the scaling behavior of parallel applications. They express how performance changes as key execution parameters, such as…
Work-stealing prefix scan: Addressing load imbalance in large-scale image registration
Marcin Copik, Tobias Grosser, Torsten Hoefler +2
Parallelism patterns (e.g., map or reduce) have proven to be effective tools for parallelizing high-performance applications. In this paper, we study the recursive registration of…
Compiling Neural Networks for a Computational Memory Accelerator
Kornilios Kourtis, Martino Dazzi, Nikolas Ioannou +3
Computational memory (CM) is a promising approach for accelerating inference on neural networks (NN) by using enhanced memories that, in addition to storing data, allow computation…