tmostak

20 ms·

151.
by tmostak 10y ago
MapD | San Francisco (city) | Backend Developer, Frontend Visualization Developer (ONSITE) MapD ( http://www.mapd.com ) is a Google Ventures/Nvidia/Verizon Ventures/Vanedge backed Series A startup that builds a ligh
152.
1.1B Taxi Rides with MapD and 8 Nvidia Tesla K80s(tech.marksblogg.com)
2 points by tmostak 10y ago|0 comments
153.
140M Streaming Tweets Visualized with GPUs [database + viz](mapd.com)
1 points by tmostak 10y ago|0 comments
154.
The Age of the GPU Is Upon Us(nextplatform.com)
3 points by tmostak 10y ago|0 comments
155.
Why GPUs are invading the data center(nextplatform.com)
3 points by tmostak 10y ago|0 comments
156.
by tmostak 10y ago
MapD | San Francisco (city) | Backend Developer, Frontend Visualization Developer (ONSITE) MapD ( http://www.mapd.com ) is a Google Ventures/Nvidia/Verizon Ventures/Vanedge backed Series A startup that builds a ligh
157.
Optimizing Server-Side Rendering for Billion Plus Row Datasets(mapd.com)
2 points by tmostak 10y ago|0 comments
158.
Rendering billions of points with a GPU database(mapd.com)
2 points by tmostak 10y ago|0 comments
159.
Optimizing Server-Side Rendering for Billion Plus Row Datasets(mapd.com)
9 points by tmostak 10y ago|0 comments
160.
by tmostak 10y ago
MapD tries to cache compressed versions of the "hot" columns of a table in GPU RAM, which could be up to 256GB per node across 8 GPUs. If necessary though it can stream the data from CPU RAM - of course such queries won't be
161.
by tmostak 10y ago
The main focus of MapD is scan queries where you might need to look at billions of rows to do the group bys, joins and aggregates to answer a query. Indexes don't tend to do well for such use cases. In the future we may add indexes su
162.
by tmostak 10y ago
Meaning LLVM has backends that target these various architectures, with very few (if any) changes required to the IR.
163.
GPU-buying gamers are subsidizing the future of analytics(businessinsider.com)
39 points by tmostak 10y ago|9 comments
164.
by tmostak 10y ago
MapD | San Francisco (city) | Backend Developer (ONSITE) MapD ( http://www.mapd.com ) is a Google Ventures/Nvidia/Verizon Ventures/Vanedge backed Series A startup that builds a lightning-fast GPU-accelerated databas
165.
by tmostak 10y ago
We tried and it seemed to be working fine. Please email us at info at mapd dot com and we'll make sure to send you one. Also would be good to know what steps you went through so we can fix if necessary.
166.
by tmostak 10y ago
It looks to be working ok for us. Can you let us know what browser you are using?
167.
by tmostak 10y ago
We're very sorry to hear that - did you email info at mapd dot com or sales at mapd dot com?
168.
by tmostak 10y ago
OP here. The demo is running off of the equivalent of a single K40. We can use 8 K80s to scale to billions of records with the same response time in milliseconds. And database workloads are often heavily memory bound so the terabytes per se
169.
Interactively Explore 120M Flight Records with GPUs(mapd.com)
46 points by tmostak 10y ago|12 comments
170.
Fly Through 120M US Flights with GPU-Powered MapD(mapd.com)
5 points by tmostak 10y ago|0 comments
171.
by tmostak 11y ago
Handles fast append (insert) - can stream large volumes of data in while running queries (one of the advantages of executing on GPU - you leave the CPU free to handle ingest). Delete/Update in-flight.
172.
by tmostak 11y ago
It can do most of the basic expressions on strings (i.e. like/ilike) and can do the standard time operations (date_trunc, extract), with the goal of being fully SQL-92 compliant this year. You have to remember that many of our customer
173.
by tmostak 11y ago
I'm not an expert on FPGAs, but in general they have much less memory bandwidth than GPUs. Since many queries are memory-bound, I would suspect that would make them less suitable than GPUs for generic SQL.
174.
by tmostak 11y ago
Based on Nvidia's Pascal launch I think you could argue that not only are GPUs getting faster but that the range of change just dramatically accelerated (due to a process node shrink and introduction of super-fast HBM2 memory).
175.
by tmostak 11y ago
Not all GPU databases are created equal. Notwithstanding the amazing functionality of Postgres and the impressive work of the PGStrom team, afaik they are still limited to a single GPU and do not cache data on board the GPU. It certainly ma
176.
Do GPU-optimized databases threaten Oracle, Splunk and Hadoop?(diginomica.com)
95 points by tmostak 11y ago|60 comments
177.
by tmostak 11y ago
MapD | San Francisco (city) | Backend Developer, Frontend Visualization Developer MapD ( http://www.mapd.com ) is a Google Ventures/Nvidia/Verizon Ventures/Vanedge backed Series A startup that builds a lightning-fas
178.
MapD can't wait for Nvidia Pascal for its GPU Database(nextplatform.com)
4 points by tmostak 11y ago|0 comments
179.
MapD Launches GPU Database and Visual Analytics Platform with $10M Series A(mapd.com)
3 points by tmostak 11y ago|0 comments
180.
by tmostak 11y ago
OP here. You can find the actual live demo at http://www.mapd.com/demos/tweetmap .

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