i cant wait to do some FLIP fluid simulations with this beast..that particle physics score is impressive
My background is computational chemistry. Quantum Mechanics, Molecular Dynamics, that sort of thing. When GPGPU started up, I took an interest in it, and it soon became clear that (unsurprisingly) in many of the cases where ”GPU-accellerated” was the headline, the GPU itself had little to do with the speed-up, the code was actually memory bandwidth accellerated.
I was around back at the time of formation of SPEC, and (again unsurprisingly) the early SPEC-fp subtests were, quite appropriately, strongly influenced by memory bandwidth. But that makes for lousy benchmarketing, so over time the suite was reworked to be far less influenced by the memory subsystem. Commercial interests at work.
Enough intro - I was very happy to see the memory architecture of the M1PM. The bandwidth, especially in combination with the humongous SLC really lends itself to algorithmic experiments, and I’m sure we were several dozen ? chemists who raised eyebrows when the presentation hit those points. Well, maybe even more.
But I have no idea what the codes in other computationally intensive branches of science and technology looks like. Could you comment on the value of a flexible setup like the M1PM in your field?