Google Details Five Generations Of TPU Training Supercomputers


Researchers from Google and University of California, Berkeley published a technical paper titled “Google’s Training Supercomputers from TPU v2 to Ironwood: Architectural Stability, Scale, Resilience, Power Efficiency, and Sustainability Across Five Generations.” The paper summarizes five generations of Google TPUs, from TPU v2 through Ironwood, and examines how the systems evolved int... » read more

Energy Usage in Layers Of Computing (SLAC)


A technical paper titled “Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining” was published by researchers at SLAC National Laboratory and Stanford University. Abstract: "Estimates of energy usage in layers of computing from devices to algorithms have bee... » read more

Heterogeneous Integration As A Path Towards Sustainable Computing, Using Chiplets


A technical paper titled "Towards Sustainable Computing: Assessing the Carbon Footprint of Heterogeneous Systems" was published by researchers at Arizona State University and University of Minnesota. Abstract: "Decades of progress in energy-efficient and low-power design have successfully reduced the operational carbon footprint in the semiconductor industry. However, this has led to an incre... » read more