Daniel Cletheroe

Analog Diffusion Models

Jiaqi Chu, H.H.C. Kremer, Fabian Falck, Grace Brennan et autres

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Analog Diffusion Models

Jiaqi Chu, H.H.C. Kremer, Fabian Falck, Grace Brennan et autres

gb (code pays fourni par la source)

Laser writing in glass for dense, fast and efficient archival data storage

James Clegg, Patrick Anderson, Erika Aranas, Youssef Assaf et autres

Long-term preservation of digital information is vital for safeguarding the knowledge of humanity for future generations. Existing archival storage solutions, such as magnetic tapes and hard disk drives, suffer from limited media lifespans that render them unsuitable for long-term data retention1–3. Optical …

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Analog Optical Computing: Toward Sustainable Machine Learning Models and Beyond

Francesca R. Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci et autres

We present a low-cost, room-temperature Analog Optical Computer (AOC) and its applications. Through hardware-applications co-design, AOC leverages the unique speed and parallelism of optics to accelerate machine learning inference and complex optimization problems by up to$100 \times$over conventional digital systems.

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Analog optical computer for AI inference and combinatorial optimization

Kirill P. Kalinin, Jannes Gladrow, Jiaqi Chu, James Clegg et autres

target either AI or optimization workloads and rely on frequent, energy-intensive digital conversions, limiting efficiency. These systems also face application-hardware mismatches, whether handling memory-bottlenecked neural models, mapping real-world optimization problems or contending with inherent analog noise. Here we introduce an analog optical …

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Mosaic: Breaking the Optics versus Copper Trade-off with a Wide-and-Slow Architecture and MicroLEDs

Kaoutar Benyahya, Ariel Gómez, Junyi Liu, Vassily Lyutsarev et autres

Link technologies in today's data center networks impose a fundamental trade-off between reach, power, and reliability. Copper links are power-efficient and reliable but have very limited reach (< 2 m). Optical links offer longer reach but at the expense of high power …

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Accelerating ML Models and NP-Hard Optimisation Problems Using Light

Francesca R. Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci et autres

In this talk, I shall introduce our efforts to build an Analog Optical Computer (AOC) to speed-up specialized computations. We estimate that AOC can offer more than 100x improvement in overall system efficiency in terms of Tera Operations per Second per Watt …

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Roadmap on Neuromorphic Photonics

Daniel Brunner, Bhavin J. Shastri, Mohammed Qadasi, Hitesh Ballani et autres

This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in the field. It emphasizes the critical role of cross-disciplinary collaboration in this rapidly evolving field.

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Analog Optical Computing for Sustainable AI and Beyond

Francesca R. Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci et autres

I will introduce the Analog Optical Computer, which, through co-design of applications and integrated 3D hardware, has the potential to accelerate by >100-fold machine learning tasks and real-world optimization problems, like medical imaging and financial transactions Full-text article not available; see video …

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Project Silica: Towards Sustainable Cloud Archival Storage in Glass

Patrick Anderson, Erika Aranas, Youssef Assaf, Raphael Behrendt et autres

Sustainable and cost-effective long-term storage remains an unsolved problem. The most widely used storage technologies today are magnetic (hard disk drives and tape). They use media that degrades over time and has a limited lifetime, which leads to inefficient, wasteful, and costly …

gb, us (code pays fourni par la source)

Accelerating ML models and NP-hard optimisation problems using light

Francesca R. Parmigiani, Hitesh Ballani, Grace Brennan, Burcu Canakci et autres

With Moore’s law plateauing and digital specialization approaching its ultimate limit, digital computing faces scalability, performance, and sustainability challenges, calling out for non-traditional compute paradigms. Our novel computer leverages optical and analog technologies and hardware-application codesign to accelerate ML inference and combinatorial …

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Project Silica: sustainable cloud archival storage in glass

Ioan A. Stefanovici, Patrick Anderson, Erika B. Aranas, Richard T. Black et autres

Sustainable and cost-effective long-term storage remains an unsolved problem. The most widely used storage technologies today are magnetic (hard disk drives and tape). They use media that degrades over time and has a limited lifetime, which leads to inefficient, wasteful, and costly …

gb (code pays fourni par la source)