[ASPLOS'25] He, Yintao, et al. "PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System."Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2. 2025. ...
I personally believe that for mainstream computing, weak memory models will never catch on with human developers. Human productivity and software reliability are more important than the increment of performance and scaling these models provide. Finally, I think the person asking about memory models was...
memory computing, but also in-memory routing (Fig.1f). Though the Mosaic architecture is independent of the choice of memory technology, here we are taking advantage of the resistive memory, for its non-volatility, small footprint, low access time and power, and fast programming29. Neighborhood...
2.1.1 PROCESSING IN MEMORY AND NEAR MEMORY COMPUTING 迳存计算实际上是在靠迳内存的逻辑中执行计算。迳存计算架构最初被称为内存处理 (processing in memory,PIM)。 打破内存墙一直是这些以内存为中心的架构的主要目标。 自 1990 年代以来(最初的建议可以追溯到 1970 年代),PIM 作为克服冯诺依曼架构内存带宽限...
However, its constructible version is equivalent to a model that we call location consistency, in which each location is serialized independently.Matteo FrigoVictor LuchangcoAssociation for Computing MachineryTenth annual ACM symposium on parallel algorithms and architectures: Tenth annual ACM(Association ...
CMM-H (CXL Memory Module – Hybrid): Rethinking Storage for the Memory-Centric Computing Era Dec 12, 2023 By Dr. Shuyi Pei & Dr. Rekha Pitchumani In May of 2021, Samsung announced the development of the industry’s first CXL DRAM, known as CMM-D (CXL Memory Module DRAM)....
Solving the linear system for model covariance matrices. We solved the linear system with mixed-precision in- memory computing for the covariance matrices defined by Eq. (3). The entries of b were generated uniformly in [0, 1]. We used the following Conjugate Gradient (CG) method as the ...
Tsukada11 used the real neuron as the basic structure to set up an associative memory model, which could realize successive retrieval. Bednar13 combined cortical structure and self-organizing functions to discuss the computing efficiency of memory network. Sacramento17 used a hierarchical structure to ...
Figure 1. Intel® Optane™ persistent memory enables hierarchical architectures for high-performance, large memory computing. Optimize Workload Performance and Reliability with Intel Optane Persistent Memory 200 Series Both DRAM and Intel Optane PMem 200 series sit on the DDR b...
A key benefit of Unified Memory is simplifying the heterogeneous computing memory model by eliminating the need for deep copies when accessing structured data in GPU kernels. Passing data structures containing pointers from the CPU to the GPU requires doing a “deep copy”, as shown in the image...