General purpose workloads would require much more silicon real estate and are not (typically) nearly as bandwidth hungry. Just like not all CPU workloads benefit from being adapted to a GPU, even fewer will benefit from being adapted to processing in RAM.
peter_d_sherman•1d ago
Related:
"SIMDRAM: A Framework for Bit-Serial SIMD Processing Using DRAM Extended Abstract" (2020):
https://arxiv.org/html/2012.11890v1
>"We leverage the SIMDRAM framework to accelerate seven application kernels from machine learning, databases, and image processing (VGG-13 [63], VGG-16 [63], LeNET [38], kNN [42], TPC-H [66], BitWeaving [45], Brightness [28]). SIMDRAM provides up to 2.5× speedup for the kernels compared to Ambit [58]. Compared to a CPU and a high-end GPU, SIMDRAM is 257× and 31× more energy efficient, while providing 93 × and 6× higher throughput, respectively."