unified memory architecture
unified memory architecture Graph Analytics Hardware
Programmable Unified Memory Architecture (PUMA) - Intel
https://en.wikichip.org/wiki/intel/programmable_unified_memory_architecture
([ has the Graph Analytics field (domain) advanced enough to implement (build, make, develope, hardwired) the software programming into a hardware stack solution, and ... ])
Intel® Programmable Integrated Unified Memory
Architecture (PIUMA)
Hardware for Faster and Deeper Insights from Large Scale Graph
Nikhil Deshpande Ph.D.
Product Director, AI and HPC Innovations
2021-04-22 Graph AI Conference v3 (2)
https://usermanual.wiki/m/8417612b0fb588cd9ae22147bd9e1ed0f9bbdf068c6ddae096df360612250f2f
PIUMA: Programmable Integrated
Unified Memory Architecture
Sriram Aananthakrishnan∗, Nesreen K. Ahmed∗, Vincent Cav ́e∗, Marcelo Cintra∗, Yigit Demir∗, Kristof Du
Bois∗, Stijn Eyerman∗, Joshua B. Fryman∗, Ivan Ganev∗, Wim Heirman∗, Hans-Christian Hoppe∗, Jason
Howard∗, Ibrahim Hur∗, MidhunChandra Kodiyath∗, Samkit Jain∗, Daniel S. Klowden∗, Marek M. Landowski∗,
Laurent Montigny∗, Ankit More†§, Przemyslaw Ossowski∗, Robert Pawlowski∗, Nick Pepperling∗, Fabrizio
Petrini∗, Mariusz Sikora∗, Balasubramanian Seshasayee∗, Shaden Smith†§, Sebastian Szkoda∗, Sanjaya Tayal∗,
Jesmin Jahan Tithi∗, Yves Vandriessche∗, Izajasz P. Wrosz∗
∗Intel Corporation
†Microsoft Corporation
13 Oct 2020
https://heirman.net/papers/aananthakrishnan2020piuma.pdf
to advance the arena of graph analytics.
to build a graph analytics processor that can process streaming graphs 1000X faster and at much lower power than current processing technology.
MIT Lincoln Laboratory and Amazon Web Services (AWS)
https://www.darpa.mil/program/hierarchical-identify-verify-exploit
https://groq.com/
AI Chip Start-up Groq to Detail Technology Progress in Fall
By John Russell
August 13, 2020
https://www.hpcwire.com/2020/08/13/ai-chip-start-up-groq-to-detail-technology-progress-in-fall/
https://research.aimultiple.com/ai-chip-makers/
Top 10 AI Chip Makers of 2023: In-depth Guide
Updated on July 15, 2023
Who are the leading AI chip producers?
1. Nvidia
2. Intel (Intel’s Xeon processors)
(Intel® NCS2)
3. Google Alphabet (TPU - tensor processing unit?)
4. Advanced Micro Devices (AMD) (MI300)
5. IBM
([ will they still be around in 10 years ])
Who are the leading AI chip startups?
6. SambaNova Systems (SN10 processor chip)
7. Cerebras Systems (Cerebras WSE-2)
8. 8. Graphcore (IPU-POD256)
9. Groq (GroqChip™ Processor, GroqCard™ Accelerator)
10. Mythic (M1076 AMP)
references:
“AMD MI300“. Semianalysis. June 12, 2023. Retrieved June 18, 2023.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance
unified memory
Nikolay Sakharnykh, 3/27/2018
(software, programming perspective?)
([ this is not it, because we are looking for hardware (wired) implementation of known software algorithm ])
([ the year is 2018, older than 2020 ])
https://on-demand.gputechconf.com/gtc/2018/presentation/s8430-everything-you-need-to-know-about-unified-memory.pdf
unified memory architecture Graph Analytics Hardware
Programmable Unified Memory Architecture (PUMA) - Intel
https://en.wikichip.org/wiki/intel/programmable_unified_memory_architecture
([ has the Graph Analytics field (domain) advanced enough to implement (build, make, develope, hardwired) the software programming into a hardware stack solution, and ... ])
Intel® Programmable Integrated Unified Memory
Architecture (PIUMA)
Hardware for Faster and Deeper Insights from Large Scale Graph
Nikhil Deshpande Ph.D.
Product Director, AI and HPC Innovations
2021-04-22 Graph AI Conference v3 (2)
https://usermanual.wiki/m/8417612b0fb588cd9ae22147bd9e1ed0f9bbdf068c6ddae096df360612250f2f
PIUMA: Programmable Integrated
Unified Memory Architecture
Sriram Aananthakrishnan∗, Nesreen K. Ahmed∗, Vincent Cav ́e∗, Marcelo Cintra∗, Yigit Demir∗, Kristof Du
Bois∗, Stijn Eyerman∗, Joshua B. Fryman∗, Ivan Ganev∗, Wim Heirman∗, Hans-Christian Hoppe∗, Jason
Howard∗, Ibrahim Hur∗, MidhunChandra Kodiyath∗, Samkit Jain∗, Daniel S. Klowden∗, Marek M. Landowski∗,
Laurent Montigny∗, Ankit More†§, Przemyslaw Ossowski∗, Robert Pawlowski∗, Nick Pepperling∗, Fabrizio
Petrini∗, Mariusz Sikora∗, Balasubramanian Seshasayee∗, Shaden Smith†§, Sebastian Szkoda∗, Sanjaya Tayal∗,
Jesmin Jahan Tithi∗, Yves Vandriessche∗, Izajasz P. Wrosz∗
∗Intel Corporation
†Microsoft Corporation
13 Oct 2020
https://heirman.net/papers/aananthakrishnan2020piuma.pdf
to advance the arena of graph analytics.
to build a graph analytics processor that can process streaming graphs 1000X faster and at much lower power than current processing technology.
MIT Lincoln Laboratory and Amazon Web Services (AWS)
https://www.darpa.mil/program/hierarchical-identify-verify-exploit
https://groq.com/
AI Chip Start-up Groq to Detail Technology Progress in Fall
By John Russell
August 13, 2020
https://www.hpcwire.com/2020/08/13/ai-chip-start-up-groq-to-detail-technology-progress-in-fall/
https://research.aimultiple.com/ai-chip-makers/
Top 10 AI Chip Makers of 2023: In-depth Guide
Updated on July 15, 2023
Who are the leading AI chip producers?
1. Nvidia
2. Intel (Intel’s Xeon processors)
(Intel® NCS2)
3. Google Alphabet (TPU - tensor processing unit?)
4. Advanced Micro Devices (AMD) (MI300)
5. IBM
([ will they still be around in 10 years ])
Who are the leading AI chip startups?
6. SambaNova Systems (SN10 processor chip)
7. Cerebras Systems (Cerebras WSE-2)
8. 8. Graphcore (IPU-POD256)
9. Groq (GroqChip™ Processor, GroqCard™ Accelerator)
10. Mythic (M1076 AMP)
references:
“AMD MI300“. Semianalysis. June 12, 2023. Retrieved June 18, 2023.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance
unified memory
Nikolay Sakharnykh, 3/27/2018
(software, programming perspective?)
([ this is not it, because we are looking for hardware (wired) implementation of known software algorithm ])
([ the year is 2018, older than 2020 ])
https://on-demand.gputechconf.com/gtc/2018/presentation/s8430-everything-you-need-to-know-about-unified-memory.pdf
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