The field of natural language processing (NLP) has witnessed significant progress in recent
years, with a notable focus on improving large language models'(LLM) performance through …

Contemporary accelerator designs exhibit a high degree of spatial localization, wherein two-
dimensional physical distance determines communication costs between processing …

The field of natural language processing (NLP) has witnessed significant progress in recent
years, with a notable focus on improving large language models'(LLM) performance through …

Higher-order graph neural networks (HOGNNs) are an important class of GNN models that
harness polyadic relations between vertices beyond plain edges. They have been used to …

Cerebras Wafer-Scale Engine (WSE) is a powerful architecture used initially for machine
learning training but now also for a larger variety of workloads. To achieve the best possible …

The Cerebras Wafer-Scale Engine (WSE) is a powerful architecture, initially introduced for
machine learning, but also a viable tool for a larger variety of high-performance …

The spatial computer model is based on the idea that the energy used for two processors to
communicate is dependent on the physical distance between the two processors. For a …