[spcl_bcast] a chiplet based generative inference architecture with block floating point datatypes
Published 1 year ago • 2.7K plays • Length 1:06:21Download video MP4
Download video MP3
Similar videos
-
1:02:06
[spcl_bcast] follow the data: memory-centric designs for modern datacenters
-
1:01:01
[spcl_bcast] capturing computation with algorithmic alignment
-
7:21
#sc22 panel - reinventing high-performance computing
-
1:03:56
[spcl_bcast] innovating the next discontinuity
-
58:33
[spcl_bcast] hpc and ai/ml: a synergistic relationship
-
14:05
hexamesh: scaling to hundreds of chiplets with an optimized chiplet arrangement
-
41:50
[spcl_bcast] co-optimization of computation and data layout to optimize data movement
-
1:00:35
[spcl_bcast] democratizing deep learning with deephyper
-
18:43
lifting c semantics for dataflow optimization
-
1:12:46
[spcl_bcast] heterogeneous multi-core systems for efficient edgeml