Search Results - "ACM Other Conferences"

Dot-product engine for neuromorphic computing: Programming 1T1M crossbar to accelerate matrix-vector multiplication by Miao Hu, Strachan, John Paul, Zhiyong Li, Grafals, Emmanuelle M., Davila, Noraica, Graves, Catherine, Lam, Sity, Ning Ge, Jianhua Joshua Yang, Williams, R. Stanley

“…Vector-matrix multiplication dominates the computation time and energy for many workloads, particularly neural network algorithms and linear transforms (e.g,…”
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Pinatubo: A processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories by Shuangchen Li, Cong Xu, Qiaosha Zou, Jishen Zhao, Yu Lu, Yuan Xie

“…Processing-in-memory (PIM) provides high bandwidth, massive parallelism, and high energy efficiency by implementing computations in main memory, therefore…”
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Who limits the resource efficiency of my datacenter: an analysis of Alibaba datacenter traces by Guo, Jing, Chang, Zihao, Wang, Sa, Ding, Haiyang, Feng, Yihui, Mao, Liang, Bao, Yungang

“…Cloud platform provides great flexibility and cost-efficiency for end-users and cloud operators. However, low resource utilization in modern datacenters brings…”
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NFVdeep: adaptive online service function chain deployment with deep reinforcement learning by Xiao, Yikai, Zhang, Qixia, Liu, Fangming, Wang, Jia, Zhao, Miao, Zhang, Zhongxing, Zhang, Jiaxing

“…With the evolution of network function virtualization (NFV), diverse network services can be flexibly offered as service function chains (SFCs) consisted of…”
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Dynamic energy-accuracy trade-off using stochastic computing in deep neural networks by Kyounghoon Kim, Jungki Kim, Joonsang Yu, Jungwoo Seo, Jongeun Lee, Kiyoung Choi

“…This paper presents an efficient DNN design with stochastic computing. Observing that directly adopting stochastic computing to DNN has some challenges…”
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Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network by Nakagawa, Hiromi, Iwasawa, Yusuke, Matsuo, Yutaka

“…Recent advancements in computer-assisted learning systems have caused an increase in the research of knowledge tracing, wherein student performance on…”
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Strategy without tactics: Policy-agnostic hardware-enhanced control-flow integrity by Sullivan, Dean, Arias, Orlando, Davi, Lucas, Larsen, Per, Sadeghi, Ahmad-Reza, Jin, Yier

“…Control-flow integrity (CFI) is a general defense against codereuse exploits that currently constitute a severe threat against diverse computing platforms…”
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Invited: Things, trouble, trust: On building trust in IoT systems by Abera, Tigist, Asokan, N., Davi, Lucas, Koushanfar, Farinaz, Paverd, Andrew, Sadeghi, Ahmad-Reza, Tsudik, Gene

“…The emerging and much-touted Internet of Things (IoT) presents a variety of security and privacy challenges. Prominent among them is the establishment of trust…”
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NoC-sprinting: Interconnect for fine-grained sprinting in the dark silicon era by Jia Zhan, Yuan Xie, Guangyu Sun

“…The rise of utilization wall limits the number of transistors that can be powered on in a single chip and results in a large region of dark silicon. While such…”
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Ptex: Per-Face Texture Mapping for Production Rendering by Burley, Brent, Lacewell, Dylan

“…Explicit parameterization of subdivision surfaces for texture mapping adds significant cost and complexity to film production. Most parameterization methods…”
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Enhancement of Bright Video Features for HDR Displays by Didyk, P., Mantiuk, R., Hein, M., Seidel, H.P.

“…To utilize the full potential of new high dynamic range (HDR) displays, a system for the enhancement of bright luminous objects in video sequences is proposed…”
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C-Brain: A deep learning accelerator that tames the diversity of CNNs through adaptive data-level parallelization by Lili Song, Ying Wang, Yinhe Han, Xin Zhao, Bosheng Liu, Xiaowei Li

“…Convolutional neural networks (CNN) accelerators have been proposed as an efficient hardware solution for deep learning based applications, which are known to…”
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Nonvolatile memory design based on ferroelectric FETs by George, Sumitha, Kaisheng Ma, Aziz, Ahmedullah, Xueqing Li, Khan, Asif, Salahuddin, Sayeef, Meng-Fan Chang, Datta, Suman, Sampson, John, Gupta, Sumeet, Narayanan, Vijaykrishnan

“…Ferroelectric FETs (FEFETs) offer intriguing possibilities for the design of low power nonvolatile memories by virtue of their three-terminal structure coupled…”
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Shallow Bounding Volume Hierarchies for Fast SIMD Ray Tracing of Incoherent Rays by Dammertz, H., Hanika, J., Keller, A.

“…Photorealistic image synthesis is a computationally demanding task that relies on ray tracing for the evaluation of integrals. Rendering time is dominated by…”
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Dependent task placement and scheduling with function configuration in edge computing by Liu, Liuyan, Tan, Haisheng, Jiang, Shaofeng H.-C., Han, Zhenhua, Li, Xiang-Yang, Huang, Hong

“…In Mobile Edge Computing (MEC), each edge server can be configured with only a small number of functions due to the limited capacity of various resources…”
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A quantitative analysis on microarchitectures of modern CPU-FPGA platforms by Young-kyu Choi, Cong, Jason, Zhenman Fang, Yuchen Hao, Reinman, Glenn, Peng Wei

“…CPU-FPGA heterogeneous acceleration platforms have shown great potential for continued performance and energy efficiency improvement for modern data centers,…”
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AVFSM: A framework for identifying and mitigating vulnerabilities in FSMs by Nahiyan, Adib, Kan Xiao, Kun Yang, Yier Jin, Forte, Domenic, Tehranipoor, Mark

“…A finite state machine (FSM) is responsible for controlling the overall functionality of most digital systems and, therefore, the security of the whole system…”
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Exploring the performance of ROS2 by Maruyama, Yuya, Kato, Shinpei, Azumi, Takuya

“…Middleware for robotics development must meet demanding requirements in real-time distributed embedded systems. The Robot Operating System (ROS), open-source…”
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ScribbleBoost: Adding Classification to Edge‐Aware Interpolation of Local Image and Video Adjustments by Li, Y., Adelson, E., Agarwala, A.

“…One of the most common tasks in image and video editing is the local adjustment of various properties (e.g., saturation or brightness) of regions within an…”
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Majority-Inverter Graph: A novel data-structure and algorithms for efficient logic optimization by Amaru, Luca, Gaillardon, Pierre-Emmanuel, De Micheli, Giovanni

“…In this paper, we present Majority-Inverter Graph (MIG), a novel logic representation structure for efficient optimization of Boolean functions. An MIG is a…”
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