Search Results - "Dangwal, Deeksha"

Agile Hardware Development and Instrumentation With PyRTL by Dangwal, Deeksha, Tzimpragos, Georgios, Sherwood, Timothy

“…Domain-specific architectures have emerged as a promising solution to meet growing technology demands but with this comes an urgent need to improve hardware…”
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A System-Level Framework for Privacy by Dangwal, Deeksha

“…Privacy in the digital age has become increasingly difficult to achieve. While there is consensus on the importance of building privacy into systems that deal…”
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Trace Wringing for Program Trace Privacy by Dangwal, Deeksha, Cui, Weilong, McMahan, Joseph, Sherwood, Timothy

“…A quantitative approach to optimizing computer systems requires a good understanding of how applications exercise a machine, and real program traces from…”
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Charm: A Language for Closed-Form High-Level Architecture Modeling by Cui, Weilong, Ding, Yongshan, Dangwal, Deeksha, Holmes, Adam, McMahan, Joseph, Javadi-Abhari, Ali, Tzimpragos, Georgios, Chong, Frederic, Sherwood, Timothy

“…As computer architecture continues to expand beyond software-agnostic microarchitecture to data center organization, reconfigurable logic, heterogeneous…”
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A pythonic approach for rapid hardware prototyping and instrumentation by Clow, John, Tzimpragos, Georgios, Dangwal, Deeksha, Guo, Sammy, McMahan, Joseph, Sherwood, Timothy

“…We introduce PyRTL, a Python embedded hardware design language that helps concisely and precisely describe digital hardware structures. Rather than attempt to…”
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Context-Aware Privacy-Optimizing Address Tracing by Dangwal, Deeksha, Zhang, Zhizhou, Crandall, Jedidiah R., Sherwood, Timothy

“…Application tuning requires a coordinated effort across hardware and software to achieve optimized application performance. Execution traces offer unique…”
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SoK: Opportunities for Software-Hardware-Security Codesign for Next Generation Secure Computing by Dangwal, Deeksha, Cowan, Meghan, Alaghi, Armin, Lee, Vincent T, Reagen, Brandon, Trippel, Caroline

“…Users are demanding increased data security. As a result, security is rapidly becoming a first-order design constraint in next generation computing systems…”
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Porcupine: A Synthesizing Compiler for Vectorized Homomorphic Encryption by Cowan, Meghan, Dangwal, Deeksha, Alaghi, Armin, Trippel, Caroline, Lee, Vincent T, Reagen, Brandon

“…Homomorphic encryption (HE) is a privacy-preserving technique that enables computation directly on encrypted data. Despite its promise, HE has seen limited use…”
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Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors by Dangwal, Deeksha, Lee, Vincent T, Kim, Hyo Jin, Shen, Tianwei, Cowan, Meghan, Shah, Rajvi, Trippel, Caroline, Reagen, Brandon, Sherwood, Timothy, Balntas, Vasileios, Alaghi, Armin, Ilg, Eddy

“…As autonomous driving and augmented reality evolve, a practical concern is data privacy. In particular, these applications rely on localization based on user…”
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PyRTLMatrix: An Object-Oriented Hardware Design Pattern for Prototyping ML Accelerators by Aboye, Dawit, Kupsh, Dylan, Lim, Maggie, Mai, Jacqueline, Dangwal, Deeksha, Mirza, Diba, Sherwood, Timothy

“…As Machine Learning (ML) applications become pervasive and computer architects further integrate hardware support, the need to rapidly explore trade-offs…”
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