A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

Reflections from a recent panel discussion at DAC, The Chips to Systems Conference held at Moscone West on the CHIPS Act's impact on the design ecosystem ...

However, deploying CNN models onto these computational image sensors faces challenges from the limited on-chip memory resources and insufficient image processing throughput. This work proposes a ...

Prof. Peng Xie remarked: “We demonstrated parallel optical computing system capable of 100-wavelength multiplexing, paving a new path to scaling up optical computility. This is like turning a ...

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM ...

Introduction to Computer Systems; Assignments15-418/15-618: Parallel Computer Architecture and Programming, Spring 2018: Assignments The assignments are the heart of this course. Much of what you ...

We present new methods for load balancing of unstructured tree computations on large-scale SIMD machines, and analyze the scalability of these and other existing schemes. An efficient formulation of ...