Search Results - "Sadredini, Elaheh"

Inhale: Enabling High-Performance and Energy-Efficient In-SRAM Cryptographic Hash for IoT by Zhang, Jingyao, Sadredini, Elaheh

“…In the age of big data, information security has become a major issue of debate, especially with the rise of the Internet of Things (IoT), where attackers can…”
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BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication by Zhang, Jingyao, Imani, Mohsen, Sadredini, Elaheh

“…Number Theoretic Transform (NTT) is an essential mathematical tool for computing polynomial multiplication in promising lattice-based cryptography. However,…”
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Cognitive Correlative Encoding for Genome Sequence Matching in Hyperdimensional System by Poduval, Prathyush, Zou, Zhuowen, Yin, Xunzhao, Sadredini, Elaheh, Imani, Mohsen

“…Pattern matching is one of the key algorithms in identifying and analyzing genomic data. In this paper, we propose HYPERS, a novel framework supporting highly…”
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Enabling In-SRAM Pattern Processing With Low-Overhead Reporting Architecture by Sadredini, Elaheh, Rahimi, Reza, Skadron, Kevin

“…The demand for accelerated pattern matching has motivated several recent in-memory accelerator architectures for automata processing, which is an efficient…”
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Full Stack Parallel Online Hyperdimensional Regression on FPGA by Chen, Hanning, Najafi, M. Hassan, Sadredini, Elaheh, Imani, Mohsen

“…Hyperdimensional computing (HDC) has been proposed to more closely model the brain from the abstract and functionality level. Compared to the traditional…”
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Impala: Algorithm/Architecture Co-Design for In-Memory Multi-Stride Pattern Matching by Sadredini, Elaheh, Rahimi, Reza, Lenjani, Marzieh, Stan, Mircea, Skadron, Kevin

“…High-throughput and concurrent processing of thousands of patterns on each byte of an input stream is critical for many applications with real-time processing…”
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Hierarchical Pattern Mining with the Automata Processor by Wang, Ke, Sadredini, Elaheh, Skadron, Kevin

“…Mining complex patterns with hierarchical structures becomes more and more important to understand the underlying information in large and unstructured…”
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MAGIC-DHT: Fast in-memory computing for Discrete Hadamard Transform by Tasnim, Maliha, Raje, Chinmay, Yu, Shuyuan, Sadredini, Elaheh, Tan, Sheldon X.-D.

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Searching for Potential gRNA Off-Target Sites for CRISPR/Cas9 Using Automata Processing Across Different Platforms by Bo, Chunkun, Dang, Vinh, Sadredini, Elaheh, Skadron, Kevin

“…The CRISPR/Cas system is a bacteria immune system protecting cells from foreign genetic elements. One version that attracted special interest is CRISPR/Cas9,…”
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A Scalable and Efficient In-Memory Interconnect Architecture for Automata Processing by Sadredini, Elaheh, Rahimi, Reza, Verma, Vaibhav, Stan, Mircea, Skadron, Kevin

“…Accelerating finite automata processing benefits regular-expression workloads and a wide range of other applications that do not map obviously to regular…”
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ASPEN: a scalable in-SRAM architecture for pushdown automata by Angstadt, Kevin, Subramaniyan, Arun, Sadredini, Elaheh, Rahimi, Reza, Skadron, Kevin, Weimer, Westley, Das, Reetuparna

“…Many applications process some form of tree-structured or recursively-nested data, such as parsing XML or JSON web content as well as various data mining…”
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Fulcrum: A Simplified Control and Access Mechanism Toward Flexible and Practical In-Situ Accelerators by Lenjani, Marzieh, Gonzalez, Patricia, Sadredini, Elaheh, Li, Shuangchen, Xie, Yuan, Akel, Ameen, Eilert, Sean, Stan, Mircea R., Skadron, Kevin

“…In-situ approaches process data very close to the memory cells, in the row buffer of each subarray. This minimizes data movement costs and affords parallelism…”
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Inhale: Enabling High-Performance and Energy-Efficient In-SRAM Cryptographic Hash for IoT by Zhang, Jingyao, Sadredini, Elaheh

“…In the age of big data, information security has become a major issue of debate, especially with the rise of the Internet of Things (IoT), where attackers can…”
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GPUVM: GPU-driven Unified Virtual Memory by Nazaraliyev, Nurlan, Sadredini, Elaheh, Abu-Ghazaleh, Nael

“…Graphics Processing Units (GPUs) leverage massive parallelism and large memory bandwidth to support high-performance computing applications, such as multimedia…”
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BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication by Zhang, Jingyao, Imani, Mohsen, Sadredini, Elaheh

“…Number Theoretic Transform (NTT) is an essential mathematical tool for computing polynomial multiplication in promising lattice-based cryptography. However,…”
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Sealer: In-SRAM AES for High-Performance and Low-Overhead Memory Encryption by Zhang, Jingyao, Naghibijouybari, Hoda, Sadredini, Elaheh

“…To provide data and code confidentiality and reduce the risk of information leak from memory or memory bus, computing systems are enhanced with encryption and…”
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Grapefruit: An Open-Source, Full-Stack, and Customizable Automata Processing on FPGAs by Rahimi, Reza, Sadredini, Elaheh, Stan, Mircea, Skadron, Kevin

“…Regular expressions have been widely used in various application domains such as network security, machine learning, and natural language processing…”
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Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration by Chen, Hanning, Kim, Yeseong, Sadredini, Elaheh, Gupta, Saransh, Latapie, Hugo, Imani, Mohsen

“…In this paper, we propose a Hyper-Dimensional genome analysis platform. Instead of working with original sequences, our method maps the genome sequences into…”
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AutomataZoo: A Modern Automata Processing Benchmark Suite by Wadden, Jack, Tracy, Tommy, Sadredini, Elaheh, Wu, Lingxi, Bo, Chunkun, Du, Jesse, Wei, Yizhou, Udall, Jeffrey, Wallace, Matthew, Stan, Mircea, Skadron, Kevin

“…Automata Processing is an important kernel for many application domains, and is challenging to accelerate using general purpose, von Neumann computers. New…”
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An Overflow-free Quantized Memory Hierarchy in General-purpose Processors by Lenjani, Marzieh, Gonzalez, Patricia, Sadredini, Elaheh, Rahman, M Arif, Stan, Mircea R.

“…Data movement comprises a significant portion of energy consumption and execution time in modern applications. Accelerator designers exploit quantization to…”
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