4 papers
NL-DPE: An Analog In-memory Non-Linear Dot Product Engine for Efficient CNN and LLM Inference
Lei Zhao, Luca Buonanno, Archit Gajjar +9
Resistive Random Access Memory (RRAM) based in-memory computing (IMC) accelerators offer significant performance and energy advantages for deep neural networks (DNNs), but face thr…
Waltz: Temperature-Aware Cooperative Compression for High-Performance Compression-Based CSDs
Dingcui Yu, Yunpeng Song, Yiyang Huang +5
Data compression is widely adopted for modern solid-state drives (SSDs) to mitigate both storage capacity and SSD lifetime issues. Researchers have proposed compression schemes at…
QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting
Aditya Pawar, Yingheng Li, Zewei Mo +4
Quantum computing has recently emerged as a promising computing paradigm for many application domains. However, the size of quantum circuits that can be run with high fidelity is c…
Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers
Yingheng Li, Yue Dai, Aditya Pawar +4
Photonic quantum computer (PQC) is an emerging and promising quantum computing paradigm that has gained momentum in recent years. In PQC, which leverages the measurement-based quan…