Processing-in-memoryHybrid Memory CubeThermalWith the advent of die stacking technology and big data applications, Processing-in-memory (PIM) is regaining attention as a promising technology for improving perfo
忆阻器存算一体的工作步骤及简单代码模拟 | 忆阻器存算一体(Memristor-based Processing-in-Memory, PIM)在矩阵乘法中的计算流程大致如下: 1. 初始化忆阻器阵列: 忆阻器阵列中的每一个忆阻器都代表一个权重值,即矩阵A和B中的元素。首先,将矩阵A和B的元素值转换为对应的忆阻器状态(电阻值),并写入到忆阻器阵列...
Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He IEEE Transactions on Computers|June 2023 Processing-in-Memory (PIM) has been widely explored for accelerating data-intensive machine learning computation that mainly consists of general-matrix-multiplication (GEMM), b...
在此过程中,q_input的尺寸为[1, emb_dim]。而k_input和v_input的尺寸为[n, emb_dim],代表到目前为止生成的所有前文token的嵌入向量。这个阶段的主要任务是计算当前生成的token与所有先前token之间的注意力关系。这个阶段更多的是 带宽密集型 向量乘以矩阵,就非常适合在PIM来做了。如下图: decoder 属于 GEMV...
Best performance and efficiency for big data & AI Introducing the most advanced Processing In Memory product
(SIMD) execution units that uses the bank-level parallelism in PIM Block to boost performance that would have otherwise used multiple times of bandwidth from simultaneous access of all bank. The simulator include memory and have embedded within it a PIM block, which consist of programmable command...
Processing-in-memoryMachine learningNeural networksThe rising overheads of data-movement and limitations of general-purpose processing architectures have led to a huge surge in the interest in "processing-in-memory" (PIM) approach and "neural networks" (NN) architectures. Spintronic memories facilitate...
本文简介:本论文所描述的PRIMO编译器针对大规模数据处理的PIM硬件资源利用问题,通过自动选择PIM操作、优化向量化因子及动态分配多存储库寄存器,显著提升硬件性能并降低通信开销。实验显示其在特定内核实现最高38倍加速,PolyBench基准测试平均加速11.8倍,无需程序员手动优化底层细节即可提升系统能效。该方法为高效利用存算一体...
(2020). GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks. In: Dong, D., Gong, X., Li, C., Li, D., Wu, J. (eds) Advanced Computer Architecture. ACA 2020. Communications in Computer and Information Science, vol 1256. Springer, Singapore. https://doi.org/10.1007...
We believe such energy efficient systems with PIM capability will become viable in the near future because of the potential to scale the memory wall. Keywords: Processing-in-Memory, 3D-DRAM, Big Data, MapReduce. 1 Introduction While the idea of moving processing to memory (i.e., Processing-...