Suchergebnisse - Engineering::Computer science and engineering::Hardware::Integrated circuits

On Reverse Engineering-Based Hardware Trojan Detection von Chongxi Bao, Forte, Domenic, Srivastava, Ankur

“… Due to design and fabrication outsourcing to foundries, the problem of malicious modifications to integrated circuits (ICs …”
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Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration von Genc, Hasan, Kim, Seah, Amid, Alon, Haj-Ali, Ameer, Iyer, Vighnesh, Prakash, Pranav, Zhao, Jerry, Grubb, Daniel, Liew, Harrison, Mao, Howard, Ou, Albert, Schmidt, Colin, Steffl, Samuel, Wright, John, Stoica, Ion, Ragan-Kelley, Jonathan, Asanovic, Krste, Nikolic, Borivoje, Shao, Yakun Sophia

“… DNN accelerators are often developed and evaluated in isolation without considering the cross-stack, system-level effects in real-world environments. This …”
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TPAD: Hardware Trojan Prevention and Detection for Trusted Integrated Circuits von Wu, Tony F., Ganesan, Karthik, Hu, Yunqing Alexander, Wong, H.-S. Philip, Wong, Simon, Mitra, Subhasish

“… There are increasing concerns about possible malicious modifications of integrated circuits (ICs …”
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Caffeine: Towards uniformed representation and acceleration for deep convolutional neural networks von Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong

“… In this paper we design and implement Caffeine, a hardware/software co-designed library to efficiently accelerate the entire CNN on FPGAs …”
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Hardware Private Circuits: From Trivial Composition to Full Verification von Cassiers, Gaetan, Gregoire, Benjamin, Levi, Itamar, Standaert, Francois-Xavier

“… We show that the resulting "Hardware Private Circuits" approach the implementation …”
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Custom Hardware Architectures for Deep Learning on Portable Devices: A Review von Zaman, Kh Shahriya, Reaz, Mamun Bin Ibne, Md Ali, Sawal Hamid, Bakar, Ahmad Ashrif A, Chowdhury, Muhammad Enamul Hoque

“… The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations …”
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Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations von Benjamin, Ben Varkey, Boahen, Kwabena, Gao, Peiran, McQuinn, Emmett, Choudhary, Swadesh, Chandrasekaran, Anand R., Bussat, Jean-Marie, Alvarez-Icaza, Rodrigo, Arthur, John V., Merolla, Paul A.

“… Designers of such systems face three major design choices: 1) whether to emulate the four neural elements-axonal arbor, synapse, dendritic tree, and soma-with dedicated or shared electronic circuits; 2 …”
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Hardware Trojan Attacks: Threat Analysis and Countermeasures von Bhunia, Swarup, Hsiao, Michael S., Banga, Mainak, Narasimhan, Seetharam

“… Security of a computer system has been traditionally related to the security of the software or the information being processed …”
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HTs-GCN: Identifying Hardware Trojan Nodes in Integrated Circuits Using a Graph Convolutional Network von Xiao, Jie, Chai, Shuiliang, Gao, Yanjiao, Huang, Yuhao, Zhang, Fan, Chen, Tieming

“… Hardware Trojans (HTs) present significant security threats to integrated circuits …”
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CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator von Sunny, Febin, Mirza, Asif, Nikdast, Mahdi, Pasricha, Sudeep

“… CrossLight includes device-level engineering for resilience to process variations and thermal crosstalk, circuit-level tuning enhancements for inference latency reduction, and architecture-level …”
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QECOOL: On-Line Quantum Error Correction with a Superconducting Decoder for Surface Code von Ueno, Yosuke, Kondo, Masaaki, Tanaka, Masamitsu, Suzuki, Yasunari, Tabuchi, Yutaka

“… In this paper, we propose an online-QEC algorithm and its hardware implementation with SFQ based superconducting digital circuits …”
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An Efficient Algorithm for Sparse Quantum State Preparation von Gleinig, Niels, Hoefler, Torsten

“… Generating quantum circuits that prepare specific states is an essential part of quantum compilation …”
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A Primer on Hardware Security: Models, Methods, and Metrics von Rostami, Masoud, Koushanfar, Farinaz, Karri, Ramesh

“… The multinational, distributed, and multistep nature of integrated circuit (IC) production supply chain has introduced hardware-based vulnerabilities …”
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Ending Piracy of Integrated Circuits von Roy, J A, Koushanfar, F, Markov, I L

“… An effective technique to combat IC piracy is to render infringement impractical by making physical tampering unprofitable and attacks computationally …”
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Review: Machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test von Afacan, Engin, Lourenço, Nuno, Martins, Ricardo, Dündar, Günhan

“… This trend has also inspired researchers working on integrated circuit (IC) design and optimization …”
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Incremental SAT-Based Reverse Engineering of Camouflaged Logic Circuits von Cunxi Yu, Xiangyu Zhang, Duo Liu, Ciesielski, Maciej, Holcomb, Daniel

“… Layout-level gate or routing camouflaging techniques have attracted interest as countermeasures against reverse engineering of combinational logic …”
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Fault Analysis-Based Logic Encryption von Rajendran, Jeyavijayan, Zhang, Huan, Zhang, Chi, Rose, Garrett S., Pino, Youngok, Sinanoglu, Ozgur, Karri, Ramesh

“… Globalization of the integrated circuit (IC) design industry is making it easy for rogue elements in the supply chain to pirate ICs, overbuild ICs, and insert hardware Trojans …”
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Advanced Equivalence Checking for Quantum Circuits von Burgholzer, Lukas, Wille, Robert

“… In the not-so-distant future, quantum computing will change the way we tackle certain problems. It promises to dramatically speed-up many chemical, financial, …”
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DEFending Integrated Circuit Layouts von Bhandari, Jitendra, Gopinath, Jayanth, Ashraf, Mohammed, Knechtel, Johann, Sinanoglu, Ozgur, Karri, Ramesh

“… Modern integrated circuits (ICs) require a complex, outsourced supply-chain, involving computer-aided design (CAD …”
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LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference von Zhang, Hengrui, Ning, August, Prabhakar, Rohan Baskar, Wentzlaff, David

“… The past year has witnessed the increasing popularity of Large Language Models (LLMs). Their unprecedented scale and associated high hardware cost have impeded their broader adoption, calling for efficient hardware designs …”
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