Towards Decarbonization: Keeping Electronics Energy Consumption In Check


The International Technology Roadmap for Semiconductors (ITRS) roadmap famously said in 2001 that "cost of design is the greatest threat to the continuation of the semiconductor roadmap." For years, the industry followed the ITRS updates on productivity improvements provided by automating design and hardware to counteract the looming design cost. The discussion on decarbonization has some simil... » read more

Is AI Good Or Bad For The Planet?


Will artificial intelligence save or sink planet earth? We’re surrounded by AI. When you use the internet, take a photo, use predictive text, or watch TV, you are interacting with AI. And we are still in the early stages of this revolution in technology and our lives. But AI can require large amounts of power. Researchers have documented the astounding amount of power required to train ... » read more

Revealing DRAM Operating GuardBands through Workload-Aware Error Predictive Modeling


Abstract Abstract—Improving the energy efficiency of DRAMs becomes very challenging due to the growing demand for storage capacity and failures induced by the manufacturing process. To protect against failures, vendors adopt conservative margins in the refresh period and supply voltage. Previously, it was shown that these margins are too pessimistic and will become impractical due to high ... » read more

Data Center Hyperscaling


As we move in to 2020 it’s clear that every sector of industry, including the semiconductor industry, will have a responsibility to address growing environmental concerns. We should be aware that as our sector underpins the growth in AI, 5G telecommunications, crypto-currency and high performance compute applications, it is predicted that by 2030 energy consumption attributable to data center... » read more

Understanding the Interactions of Workloads and DRAM Types: A Comprehensive Experimental Study


Abstract "It has become increasingly difficult to understand the complex interaction between modern applications and main memory, composed of DRAM chips. Manufacturers are now selling and proposing many different types of DRAM, with each DRAM type catering to different needs (e.g., high throughput, low power, high memory density). At the same time, the memory access patterns of prevalent and... » read more

AI Architectures Must Change


Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

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