CompRRAE: RRAM-based Convolutional Neural Network Accelerator with Reduced Computations through a Runtime Activation Estimation

Recently Resistive-RAM (RRAM) crossbar has been used in the design of the accelerator of convolutional neural networks (CNNs) to solve the memory wall issue. However, the intensive multiply-accumulate computations (MACs) executed at the crossbars during the inference phase are still the bottleneck for the further improvement of energy efficiency and throughput. In this work, we explore several methods to reduce the computations for the RRAM-based CNN accelerators. First, the output sparsity resulting from the widely employed Rectified Linear Unit is exploited, and a significant portion of computations are bypassed through an early detection of the negative output activations. Second, an adaptive approximation is proposed to terminate the MAC early when the sum of the partial results of the remaining computations is considered to be within a certain range of the intermediate accumulated result and thus has an insignificant contribution to the inference. In order to determine these redundant computations, a novel runtime estimation on the maximum and minimum values of each output activation is developed and used during the MAC operation. Experimental results show that around 70% of the computations can be reduced during the inference with a negligible accuracy loss smaller than 0.2%. As a result, the energy efficiency and the throughput are improved by over 2.9 and 2.8 times, respectively, compared with the state-of-the-art RRAM-based accelerators.Comment: 7 pages, 6 figures, Accepted by ASP-DAC 201

内臟に發生せる稀有なる多發性神經纎維腫症の一剖檢例

Information on the 74 candidate blast resistant genes in LAFBRs. (XLSX 90 kb

Spatially restricted drivers and transitional cell populations cooperate with the microenvironment in untreated and chemo-resistant pancreatic cancer

Pancreatic ductal adenocarcinoma is a lethal disease with limited treatment options and poor survival. We studied 83 spatial samples from 31 patients (11 treatment-naïve and 20 treated) using single-cell/nucleus RNA sequencing, bulk-proteogenomics, spatial transcriptomics and cellular imaging. Subpopulations of tumor cells exhibited signatures of proliferation, KRAS signaling, cell stress and epithelial-to-mesenchymal transition. Mapping mutations and copy number events distinguished tumor populations from normal and transitional cells, including acinar-to-ductal metaplasia and pancreatic intraepithelial neoplasia. Pathology-assisted deconvolution of spatial transcriptomic data identified tumor and transitional subpopulations with distinct histological features. We showed coordinated expression of TIGIT in exhausted and regulatory T cells and Nectin in tumor cells. Chemo-resistant samples contain a threefold enrichment of inflammatory cancer-associated fibroblasts that upregulate metallothioneins. Our study reveals a deeper understanding of the intricate substructure of pancreatic ductal adenocarcinoma tumors that could help improve therapy for patients with this disease

ABCC Transporter Gene <i>MoABC-R1</i> Is Associated with Pyraclostrobin Tolerance in <i>Magnaporthe oryzae</i>

Rice blast is a worldwide fungal disease that poses a threat to food security. Fungicide treatment is one of the most effective methods to control rice blast disease. However, the emergence of fungicide tolerance hampers the control efforts against rice blast. ATP-binding cassette (ABC) transporters have been found to be crucial in multidrug tolerance in various phytopathogenic fungi. This study investigated the association between polymorphisms in 50 ABC transporters and pyraclostrobin sensitivity in 90 strains of rice blast fungus. As a result, we identified MoABC-R1, a gene associated with fungicide tolerance. MoABC-R1 belongs to the ABCC-type transporter families. Deletion mutants of MoABC-R1, abc-r1, exhibited high sensitivity to pyraclostrobin at the concentration of 0.01 μg/mL. Furthermore, the pathogenicity of abc-r1 was significantly diminished. These findings indicate that MoABC-R1 not only plays a pivotal role in fungicide tolerance but also regulates the pathogenicity of rice blast. Interestingly, the combination of MoABC-R1 deletion with fungicide treatment resulted in a three-fold increase in control efficiency against rice blast. This discovery highlights MoABC-R1 as a potential target gene for the management of rice blast

Platelet microparticles-containing miR-4306 inhibits human monocyte-derived macrophages migration through VEGFA/ERK1/2/NF-κB signaling pathways

Platelets are major sources of microparticles (MPs) in peripheral bloodstream, and platelet-secreted MPs (P-MPs) transfer biological information to neighboring cells. In the present study, we found that the platelet- and P-MPs-derived microRNA-4306 (miR-4306) expression were downregulated in coronary artery disease (CAD) and platelet-derived miR-4306 was an independent poor prognostic factor in CAD. Plasma miRNA-4306 mainly cofractionated with MPs instead of Argonaute2 complexes or HDL. P-MPs could effectively deliver miR-4306 into human monocyte-derived macrophages (HMDMs). MiR-4306 noticeably inhibited the HMDMs migration in vitro and reduced the number of macrophage cells in cardiac tissue in myocardial infarction mice. This functional impact of miR-4306 was mediated directly through VEGFA to inhibit ERK/NF-κB signaling. In conclusion, our study suggested that intercellular transfer of miR-4306 by platelet microparticles inhibited the HMDMs migration through VEGFA/ERK1/2/NF-κB signaling pathways

Additional file 1: Table S1. of A Genome-Wide Association Study of Field Resistance to Magnaporthe Oryzae in Rice

Rice blast evaluation of the RDP1 in three blast nurseries in the field. (XLSX 39 kb