by Digvijay Singh on Apr 29, 2026 | Tags: Data Prefetcher, Memory Wall
This article continues (and concludes) the discussion on the proceedings of DPC-4, covering the remaining four contestants and a summary of the trends observed in all eight prefetchers presented in the championship. Similar to Part I, we focus on how each prefetch...
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by Digvijay Singh on Apr 27, 2026 | Tags: Data Prefetcher, Memory Wall
This article is the first in a two-part series that summarizes the key contributions of 4th Data Prefetching Championship (DPC-4), held in conjunction with the 32nd iteration of HPCA in 2026. While discussing innovative data prefetching techniques presented in this...
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by Yuan Liu, Zihan Chen, Shubdeep Mohapatra, Jim Furches, Zheng (Eddy) Zhang, Huiyang Zhou on Apr 20, 2026 | Tags: Quantum Computing
Hybrid continuous-discrete-variable (CV-DV) quantum computing combines oscillators and qubits to tackle problems that are difficult for either model alone, from bosonic simulation to quantum error correction. At ASPLOS 2026, our tutorial introduced the foundations,...
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by Karu Sankaralingam on Apr 10, 2026 | Tags: Architecture, Evaluation, Machine Learning
For decades, we have designed chips in fundamentally the same way: human intuition applied to a vanishingly small slice of an impossibly large design space. That paradigm worked when Moore’s Law was lifting everything. We could afford to be wrong. We could...
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by Adnan Rakin on Apr 6, 2026 | Tags: deep neural networks, Security, side-channels
Years ago, I came across three pioneering works (CSI-NN, Cache Telepathy, and DeepSniffer) in the field of reverse engineering neural networks that inspired my journey into side-channel attacks to uncover the secrets of modern Deep Neural Networks (DNNs). Fast forward...
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