MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons


A new technical paper titled "Lincoln AI Computing Survey (LAICS) and Trends" was published by researchers at MIT Lincoln Laboratory Supercomputing Center. Abstract "In the past year, generative AI (GenAI) models have received a tremendous amount of attention, which in turn has increased attention to computing systems for training and inference for GenAI. Hence, an update to this survey is ... » read more

Exploring System Architectures For Data-Intensive Applications


The exponential growth of digital data is being driven by a number of factors, including the burgeoning Internet of Things (IoT) and an increased reliance on complex analytics extracted from extremely large data sets. Perhaps not surprisingly, IDC analysts see digital data doubling roughly every two years. This dramatic growth continues to challenge, and in some cases, even outpace industry cap... » read more