for many years, laptop chips have become smaller and extra
efficient via shrinking the dimensions of diverse features and locating methods
to p.c. more transistors right into a smaller region of silicon. As die shrinks
have end up greater tough, agencies have turned to three-D die stacking and
technologies like HBM (excessive Bandwidth memory) to improve overall
performance.
We’ve talked a amazing deal about HBM and HBM2 in the past
few years, but photographic proof of the die savings is a piece more difficult
to come by way of. SK Hynix helpfully had some HBM reminiscence on show at GTC
this year, and Tweaktown caught photographic evidence of 8Gb of GDDR5 as
compared with a 1 GB HBM stack and a 4GB HBM2 stack.
the one quibble i've with the Hynix display is that the
labeling mixes GB and Gb. The HBM2 package is drastically larger than the HBM1
chip, however nonetheless a lot smaller than the 8Gb of GDDR5, notwithstanding
packing 4x more reminiscence into its diminutive shape issue.
We don’t anticipate HBM2 to hit marketplace until the tail
cease of this 12 months and the start of next; GDDR5 is predicted to have one
closing hurrah with the launch of AMD’s Polaris this 12 months. those space
financial savings, but, illustrate why each AMD and NV are moving to HBM2 on
the high cease. Smaller dies suggest smaller GPUs with higher memory densities
for each consumer, expert, and medical applications. technologies like GDDR5X,
which depend upon 2nd planar silicon, can’t compete with the ability gain of
layering more than one chips on pinnacle of every different and connecting them
with TSVs (via silicon vias). GDDR5 will continue to be used for finances and
midrange playing cards this technology, but HBM2 will likely replace it over
the long time as prices fall, decrease-quit cards require more VRAM, and
producer yields improve.
Over the long term, even though, even HBM2 isn’t sufficient
to feed the desires of next-era exascale systems. The slide above is from an Nvidia
presentation on excessive performance computing (HPC) and the strength
requirements of DRAM subsystems. shifting to HBM drives a great improvement in
I/O strength and an absolute development in general energy consumption for the
DRAM subsystem. HBM2 draws less power to provide 1TB/s of bandwidth than GDDR5
used to show 200GB/s.
lamentably, sincere scaling of the HBM2 interface gained’t
save you destiny reminiscence standards from exceeding GDDR5 electricity
requirements. lengthy-term, extra upgrades and process node shrinks are
nevertheless necessary — despite the fact that die-stacking has replaced planar
silicon die shrinks because the number one overall performance motive force.
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