by Jay Shah on Oct 8, 2024 | Tags: Accelerators, Machine Learning, Programming
General Matrix Multiplication (GEMM) is a fundamental operation in machine learning and scientific computing. It is the classic example of an algorithm that benefits greatly from GPU acceleration due to its high degree of data parallelism. More recently, efficient...
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by Daniel S. Berger, David Brooks, Fiodar Kazhamiaka, Mark D. Hill, Ricardo Bianchini, Carole-Jean Wu, Karin Strauss, Kali Frost, Jaylen Wang, Kevin Martins, Sharon Gillett, Esha Choukse, Dan Ernst, Rodrigo Fonseca, Kari Lio, Bhargavi Narayanasetty, Pratyush Patel, Celine Irvene, Akshitha Sriraman, George Porter, Alex Jones, Udit Gupta, Bilge Acun-Uyan, Kim Hazelwood, and Doug Carmean on Aug 3, 2023 | Tags: Accelerators, amd, apple, Architecture, Carbon emissions, Cloud computing, Datacenters, embodied carbon, intel, Measurements, nvidia, operational carbon, qualcomm, Sustainability, tsmc
A recent post raises awareness of the challenges of reducing operational carbon, while also controversially challenging the importance of embodied carbon. We rebut the arguments raised against using embodied carbon as a design metric and conclude by advocating for more research on reducing embodied carbon.
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by Andrew A. Chien on Jul 24, 2023 | Tags: Accelerators, amd, apple, Cloud computing, Datacenters, embodied carbon, intel, nvidia, operational carbon, qualcomm, Sustainability, tsmc
I. Embodied Carbon Recently, embodied carbon, defined as the Scope 3 GHG emissions that arise from the manufacturing processes that lead to computing electronics, has become popular as an architectural metric for sustainability. If you are considering it or using it,...
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by Abhishek Bhattacharjee on Jul 29, 2022 | Tags: Accelerators, Brain computer interface, Signal Processing
In mid-July of this year, Synchron, a brain-computer interface (BCI) startup, announced that it had partnered with Mount Sinai West in New York to permanently implant a stent-like BCI in the motor cortex of a paralyzed patient and read neurological signals to capture...
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by Jayashree Mohan on Jun 8, 2022 | Tags: Accelerators, GPUs, Machine Learning, Systems
Machine Learning (ML) training is an important workload in enterprise clusters and cloud data centers today. Products like virtual assistants, chatbots, and web search which are an integral part of our life now, are empowered by the innovations in ML and AI research....
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