GPUs have become indispensable infrastructure for cloud platforms, powering workloads from large-model inference to real-time rendering, and the transition to cloud-native GPU computing is accelerating. One of the key challenges in this transition is live migration, which is essential for enabling transparent workload...
Kai-Liang Xu, Sen-Hao Yu, Song-Tao Xue et al.· ACM Transactions on Architec...· 0 citations
Cascade is presented, a software-only x86-to-ARM64 binary translation framework that substantially reduces EFLAGS overhead through three complementary techniques, and improves 7-Zip LZMA throughput by up to 2.4×, increases Geekbench 6 multi-core scores by up to 36%, and improves Unigine Heaven and Valley benchmark scor...
James Yen, Jia-Rui Wang, Zhi-Xiang Wei et al.· IEEE Transactions on Mobile...· 0 citations
Deep learning (DL) models for real-time wearable sleep staging often rely on long-kernel temporal convolutions, a requirement that current accelerators struggle to support efficiently. To overcome this, we present an FPGA-based CNN-BiLSTM accelerator that incorporates several algorithm-hardware co-design techniques to...
Aaron Zhou, Ya-Qian Xu, Chen Chen et al.· 1 citation
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