8,918 research outputs found
Dialogical Skirmishes
Tan was guest editor for 'And Now China?', a special print edition of the Ctrl+P journal, which critically responded to the celebratory rhetoric’s of ‘China Now’ and other celebratory markers of China's global ascent in 2008. As well as the introductory article 'Dialogical Skirmishes', Tan also interviewed Hans Ulrich Obrist
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Design for Ultra Low Power Hardware Accelerator Using Approximate and In-Memory Computing
In recent years, the rapid slowdown of Moore's Law has made it impossible to enhance processor performance at the same rate by merely scaling down transistor size. Simultaneously, the volume of data processed by computing systems has surged, making the memory wall a significant bottleneck for artificial intelligence (AI) and digital signal processing (DSP) accelerators. Data-intensive computing tasks such as AI and DSP have led to a dramatic rise in energy demands for computing, far outpacing the linear growth of global energy production. Consequently, alternative memory-computing paradigms beyond the Von Neumann architecture, along with low-power and hardware-efficient computing approaches enabled by approximation, are gaining popularity, especially for emerging AI and media applications that can tolerate higher error rates. In this thesis, we try to address the power efficiency of the hardware accelerator designs. First, we propose an efficient hybrid parallel Processing-in-Memory (PIM)-based computation for the Discrete Hadamard Transform (DHT). Our method leverages the recursive computation of DHT using memristor-aided logic (MAGIC) gates, where arithmetic operations are performed via simple logic NOR operations. Second, to further reduce power consumption, and improve computing throughput, we develop a novel multi-level reconfigurable approximate logarithmic multiplier design named Multi-ALM. The Multi-ALM is based on a new iterative formulation of approximate logarithmic multiplication, which is mathematically proven and similar to a Taylor series, to balance accuracy and performance/power. This design offers a new way to trade-off accuracy for power/performance in a systematic and progressive manner. Last but not least, we propose a new hybrid temporal computing framework that combines pulse rate and temporal data encoding for ultra-low energy hardware accelerators. Our approach is inspired by recent advances in temporal computing or race logic, where data values are encoded as single delays, resulting in significantly lower energy consumption due to minimized single switching events
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Towards Addressing Thermal and Reliability Challenges in Nanometer Integrated Circuits
On-chip power densities continue to increase in modern integrated circuits (IC) due to rapid integration and feature scaling.As a consequence, today's high-performance processors have become more thermally constrained than ever before. Increase in temperature has been shown to exponentially degrade reliability of semiconductor chips and has consequently become one of the leading concerns in the industry today. In this thesis, we present our findings and share our contributions from our research efforts in the areas of pre-silicon IC reliability analysis, post-silicon thermal estimation, and advanced microprocessor cooling. Specifically, the first segment of this manuscript will focus on a novel structure-based approach to accelerating electromigration (EM) wear-out for the purposes of post-silicon qualification and burn-in testing. The proposed approach achieves time-to-failure acceleration comparable to the existing current and temperature based stressing techniques at close to nominal operating conditions. Temperature and reliability go hand-in-hand; hence monitoring and managing the processor's temperature while it is in use is equally important in order to maximize performance while minimizing reliability impacts. Therefore, the second segment of this thesis will present our data-driven post-silicon approach to estimating the spatial temperature distribution across the surface of the die in real time. This approach leverages the latest advancements in recurrent-neural-networks for time-series estimation. The estimated temperatures from the proposed model can then be used to supplement the temperature information sensed from the embedded thermal sensors in order to make better informed thermal and reliability regulation decisions. Lastly, the third segment of this thesis will focus on leveraging the aforementioned real-time temperature estimation technique and the emerging thermo-electric based active cooling technologies to propose an on-demand targeted cooling system for modern high-performance processors. This approach yields the sub-ambient cooling benefits of thermo-electric cooling with lower power overheads
Evidence for erbium-erbium energy migration in erbium(III) bis(perfluoro-p-tolyl)phosphinate
Copyright 2008 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. This article appeared in Applied Physics Letters 92, 103303 (2008) and may be found at
Free thinking - running
We've been running for two million years give or take. Shahidha Bari and Laurence Scott explore contemporary running as solitary inspiration and communal activity with the Geographer and 1999 Scottish Hill Running Champion, Hayden Lorimer, the artists Kai Syng Tan and Angus Farquhar, and the literary scholar and bare-foot artiste, Vybarr Cregan-Reid. Conversation ranges from feeling empowered on city streets to teaming up with the wind to the horrid history of the treadmill and explore whether Running deserves better representation in the arts. Guests: Vybarr Cregan-Reid - author of Footnotes How Running Makes Us Human Angus Farquhar, Creative Director of NVA Public Art, author of a blog 'The Grim Runner' Hayden Lorimer Running Geographer Kai Syng Tan, Artist and curator of a biennial festival Run Run Run Producer: Jacqueline Smith
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Leather handbag
Handbag of dark navy blue leather. Inverted frame with metallic gold flip clip closure and fasteners. Single contoured handle; front trimmed with two side tabs. Lined in tan leather; one slip pocket and one zipper pocket. Includes rectangular mirror with rounded corners.
Maker's label: Sheldon/ Original/ New York
Measurements:
Width: 10 3/4"
Height: 7 1/2" without handle
Height: 12 3/4" with handle
Depth: 2 3/4
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