#fp64 — Public Fediverse posts

#Nvidia Says It’s Not Abandoning 64-bit Computing https://www.hpcwire.com/2025/12/09/nvidia-says-its-not-abandoning-64-bit-computing/

#hpc #fp64

#ScientificComputing is about to get a massive injection of #AI
#Nvidia's #IanBuck on the importance of #FP64 to power research, in a world that's hot for inferencing
Enabling the AI-#HPC merger: on Monday, the company unveiled Apollo – a new family of open models designed to accelerate industrial and computation engineering. Nvidia has integrated Apollo into industrial design software suites from Cadence, Synopsys, and Siemens.
https://www.theregister.com/2025/11/18/future_of_scientific_computing/ #SC25

#ScientificComputing is about to get a massive injection of #AI
#Nvidia's #IanBuck on the importance of #FP64 to power research, in a world that's hot for inferencing
Enabling the AI-#HPC merger: on Monday, the company unveiled Apollo – a new family of open models designed to accelerate industrial and computation engineering. Nvidia has integrated Apollo into industrial design software suites from Cadence, Synopsys, and Siemens.
https://www.theregister.com/2025/11/18/future_of_scientific_computing/ #SC25

#ScientificComputing is about to get a massive injection of #AI
#Nvidia's #IanBuck on the importance of #FP64 to power research, in a world that's hot for inferencing
Enabling the AI-#HPC merger: on Monday, the company unveiled Apollo – a new family of open models designed to accelerate industrial and computation engineering. Nvidia has integrated Apollo into industrial design software suites from Cadence, Synopsys, and Siemens.
https://www.theregister.com/2025/11/18/future_of_scientific_computing/ #SC25

#ScientificComputing is about to get a massive injection of #AI
#Nvidia's #IanBuck on the importance of #FP64 to power research, in a world that's hot for inferencing
Enabling the AI-#HPC merger: on Monday, the company unveiled Apollo – a new family of open models designed to accelerate industrial and computation engineering. Nvidia has integrated Apollo into industrial design software suites from Cadence, Synopsys, and Siemens.
https://www.theregister.com/2025/11/18/future_of_scientific_computing/ #SC25

#ScientificComputing is about to get a massive injection of #AI
#Nvidia's #IanBuck on the importance of #FP64 to power research, in a world that's hot for inferencing
Enabling the AI-#HPC merger: on Monday, the company unveiled Apollo – a new family of open models designed to accelerate industrial and computation engineering. Nvidia has integrated Apollo into industrial design software suites from Cadence, Synopsys, and Siemens.
https://www.theregister.com/2025/11/18/future_of_scientific_computing/ #SC25

Interesting take from an #Nvidia engineer I met at #ISC25: "Do you need IEEE-754 compliant #FP64, or do you need digits? Digits we can get you through FP64 emulation."

Not sure what to make of that. Things were an absolute mess before the IEEE-754 standard, and I wouldn't want to ever go back to that. No standards means you cannot at all port software between hardware architectures even from within the same vendor. Having to re-architect software for each and every new chip is not gonna happen.

Interesting take from an #Nvidia engineer I met at #ISC25: "Do you need IEEE-754 compliant #FP64, or do you need digits? Digits we can get you through FP64 emulation."

Not sure what to make of that. Things were an absolute mess before the IEEE-754 standard, and I wouldn't want to ever go back to that. No standards means you cannot at all port software between hardware architectures even from within the same vendor. Having to re-architect software for each and every new chip is not gonna happen.

Interesting take from an #Nvidia engineer I met at #ISC25: "Do you need IEEE-754 compliant #FP64, or do you need digits? Digits we can get you through FP64 emulation."

Not sure what to make of that. Things were an absolute mess before the IEEE-754 standard, and I wouldn't want to ever go back to that. No standards means you cannot at all port software between hardware architectures even from within the same vendor. Having to re-architect software for each and every new chip is not gonna happen.

Interesting take from an #Nvidia engineer I met at #ISC25: "Do you need IEEE-754 compliant #FP64, or do you need digits? Digits we can get you through FP64 emulation."

Not sure what to make of that. Things were an absolute mess before the IEEE-754 standard, and I wouldn't want to ever go back to that. No standards means you cannot at all port software between hardware architectures even from within the same vendor. Having to re-architect software for each and every new chip is not gonna happen.

Interesting take from an #Nvidia engineer I met at #ISC25: "Do you need IEEE-754 compliant #FP64, or do you need digits? Digits we can get you through FP64 emulation."

Not sure what to make of that. Things were an absolute mess before the IEEE-754 standard, and I wouldn't want to ever go back to that. No standards means you cannot at all port software between hardware architectures even from within the same vendor. Having to re-architect software for each and every new chip is not gonna happen.

With all the hot discussions about #FP64 right now, what do you say to Nvidia almost entirely axing FP64 on #Blackwell Ultra B300?

B200 180GB FP64 performance: 37.2 TFlops/s
B300 288GB FP64 performance: 1.2 TFlops/s ☠️

They're going from the usual datacenter #GPU FP64:FP32 ratio of 1:2 down to cheap 1:64, like on all their gaming/workstation GPUs.
Personally I think this is fantastic - it opens the doors wide for competitors to step into the #HPC market.

https://www.nvidia.com/en-us/data-center/gb300-nvl72/

With all the hot discussions about #FP64 right now, what do you say to Nvidia almost entirely axing FP64 on #Blackwell Ultra B300?

B200 180GB FP64 performance: 37.2 TFlops/s
B300 288GB FP64 performance: 1.2 TFlops/s ☠️

They're going from the usual datacenter #GPU FP64:FP32 ratio of 1:2 down to cheap 1:64, like on all their gaming/workstation GPUs.
Personally I think this is fantastic - it opens the doors wide for competitors to step into the #HPC market.

https://www.nvidia.com/en-us/data-center/gb300-nvl72/

With all the hot discussions about #FP64 right now, what do you say to Nvidia almost entirely axing FP64 on #Blackwell Ultra B300?

B200 180GB FP64 performance: 37.2 TFlops/s
B300 288GB FP64 performance: 1.2 TFlops/s ☠️

They're going from the usual datacenter #GPU FP64:FP32 ratio of 1:2 down to cheap 1:64, like on all their gaming/workstation GPUs.
Personally I think this is fantastic - it opens the doors wide for competitors to step into the #HPC market.

https://www.nvidia.com/en-us/data-center/gb300-nvl72/

With all the hot discussions about #FP64 right now, what do you say to Nvidia almost entirely axing FP64 on #Blackwell Ultra B300?

B200 180GB FP64 performance: 37.2 TFlops/s
B300 288GB FP64 performance: 1.2 TFlops/s ☠️

They're going from the usual datacenter #GPU FP64:FP32 ratio of 1:2 down to cheap 1:64, like on all their gaming/workstation GPUs.
Personally I think this is fantastic - it opens the doors wide for competitors to step into the #HPC market.

https://www.nvidia.com/en-us/data-center/gb300-nvl72/

With all the hot discussions about #FP64 right now, what do you say to Nvidia almost entirely axing FP64 on #Blackwell Ultra B300?

B200 180GB FP64 performance: 37.2 TFlops/s
B300 288GB FP64 performance: 1.2 TFlops/s ☠️

They're going from the usual datacenter #GPU FP64:FP32 ratio of 1:2 down to cheap 1:64, like on all their gaming/workstation GPUs.
Personally I think this is fantastic - it opens the doors wide for competitors to step into the #HPC market.

https://www.nvidia.com/en-us/data-center/gb300-nvl72/

Some great debate already in response to my question on #FP64.

But are we just defending FP64 because it is what we have now and what we know?

Would we defend FP32 if that is all we had?

If we had pervasive FP128 would we be arguing that a drop to FP64 is not good enough?

#ISC25 #HPC

Some great debate already in response to my question on #FP64.

But are we just defending FP64 because it is what we have now and what we know?

Would we defend FP32 if that is all we had?

If we had pervasive FP128 would we be arguing that a drop to FP64 is not good enough?

#ISC25 #HPC

Some great debate already in response to my question on #FP64.

But are we just defending FP64 because it is what we have now and what we know?

Would we defend FP32 if that is all we had?

If we had pervasive FP128 would we be arguing that a drop to FP64 is not good enough?

#ISC25 #HPC

Some great debate already in response to my question on #FP64.

But are we just defending FP64 because it is what we have now and what we know?

Would we defend FP32 if that is all we had?

If we had pervasive FP128 would we be arguing that a drop to FP64 is not good enough?

#ISC25 #HPC

Some great debate already in response to my question on #FP64.

But are we just defending FP64 because it is what we have now and what we know?

Would we defend FP32 if that is all we had?

If we had pervasive FP128 would we be arguing that a drop to FP64 is not good enough?

#ISC25 #HPC

Provocative question to debate at #ISC25 - in talks, meetings, booths, over beers:

What is so special about #FP64 that science holds it as a gold standard?

If #HPC had never got as far as FP64, eg had got stuck at FP32, surely we would still have been able to do science?

Provocative question to debate at #ISC25 - in talks, meetings, booths, over beers:

What is so special about #FP64 that science holds it as a gold standard?

If #HPC had never got as far as FP64, eg had got stuck at FP32, surely we would still have been able to do science?

Provocative question to debate at #ISC25 - in talks, meetings, booths, over beers:

What is so special about #FP64 that science holds it as a gold standard?

If #HPC had never got as far as FP64, eg had got stuck at FP32, surely we would still have been able to do science?

Provocative question to debate at #ISC25 - in talks, meetings, booths, over beers:

What is so special about #FP64 that science holds it as a gold standard?

If #HPC had never got as far as FP64, eg had got stuck at FP32, surely we would still have been able to do science?

Provocative question to debate at #ISC25 - in talks, meetings, booths, over beers:

What is so special about #FP64 that science holds it as a gold standard?

If #HPC had never got as far as FP64, eg had got stuck at FP32, surely we would still have been able to do science?

#JackDongarra Makes a Stand for Traditional #HPC: "US still doesn’t have a clear, long-term plan for what comes next.... U.S. risks falling behind."

Challenges to high-performance computing threaten #US #innovation

The #AI boom has led chip makers to focus on #FP16 and #FP8, not the #FP64 used by scientific research. If chip companies stop making the parts that #scientists need, then it could become harder to do important research.
https://theconversation.com/challenges-to-high-performance-computing-threaten-us-innovation-255188

#JackDongarra Makes a Stand for Traditional #HPC: "US still doesn’t have a clear, long-term plan for what comes next.... U.S. risks falling behind."

Challenges to high-performance computing threaten #US #innovation

The #AI boom has led chip makers to focus on #FP16 and #FP8, not the #FP64 used by scientific research. If chip companies stop making the parts that #scientists need, then it could become harder to do important research.
https://theconversation.com/challenges-to-high-performance-computing-threaten-us-innovation-255188

#JackDongarra Makes a Stand for Traditional #HPC: "US still doesn’t have a clear, long-term plan for what comes next.... U.S. risks falling behind."

Challenges to high-performance computing threaten #US #innovation

The #AI boom has led chip makers to focus on #FP16 and #FP8, not the #FP64 used by scientific research. If chip companies stop making the parts that #scientists need, then it could become harder to do important research.
https://theconversation.com/challenges-to-high-performance-computing-threaten-us-innovation-255188

#JackDongarra Makes a Stand for Traditional #HPC: "US still doesn’t have a clear, long-term plan for what comes next.... U.S. risks falling behind."

Challenges to high-performance computing threaten #US #innovation

The #AI boom has led chip makers to focus on #FP16 and #FP8, not the #FP64 used by scientific research. If chip companies stop making the parts that #scientists need, then it could become harder to do important research.
https://theconversation.com/challenges-to-high-performance-computing-threaten-us-innovation-255188

#JackDongarra Makes a Stand for Traditional #HPC: "US still doesn’t have a clear, long-term plan for what comes next.... U.S. risks falling behind."

Challenges to high-performance computing threaten #US #innovation

The #AI boom has led chip makers to focus on #FP16 and #FP8, not the #FP64 used by scientific research. If chip companies stop making the parts that #scientists need, then it could become harder to do important research.
https://theconversation.com/challenges-to-high-performance-computing-threaten-us-innovation-255188

#HPC and other scientific computing folks should like this image ... it's a floating point 😀

#FP64 #FLOPS

#HPC and other scientific computing folks should like this image ... it's a floating point 😀

#FP64 #FLOPS

#HPC and other scientific computing folks should like this image ... it's a floating point 😀

#FP64 #FLOPS

#HPC and other scientific computing folks should like this image ... it's a floating point 😀

#FP64 #FLOPS

#HPC and other scientific computing folks should like this image ... it's a floating point 😀

#FP64 #FLOPS

Did you know? #Battlemage / #Intel Arc B580 adds support for (a little bit of) #FP64, with FP64:FP32 ratio of 1:16. 🖖 🧐
This helps a lot with application compatibility. FP64 support was absent on Arc Alchemist.
https://github.com/ProjectPhysX/OpenCL-Benchmark

Did you know? #Battlemage / #Intel Arc B580 adds support for (a little bit of) #FP64, with FP64:FP32 ratio of 1:16. 🖖 🧐
This helps a lot with application compatibility. FP64 support was absent on Arc Alchemist.
https://github.com/ProjectPhysX/OpenCL-Benchmark

Did you know? #Battlemage / #Intel Arc B580 adds support for (a little bit of) #FP64, with FP64:FP32 ratio of 1:16. 🖖 🧐
This helps a lot with application compatibility. FP64 support was absent on Arc Alchemist.
https://github.com/ProjectPhysX/OpenCL-Benchmark

Did you know? #Battlemage / #Intel Arc B580 adds support for (a little bit of) #FP64, with FP64:FP32 ratio of 1:16. 🖖 🧐
This helps a lot with application compatibility. FP64 support was absent on Arc Alchemist.
https://github.com/ProjectPhysX/OpenCL-Benchmark

Did you know? #Battlemage / #Intel Arc B580 adds support for (a little bit of) #FP64, with FP64:FP32 ratio of 1:16. 🖖 🧐
This helps a lot with application compatibility. FP64 support was absent on Arc Alchemist.
https://github.com/ProjectPhysX/OpenCL-Benchmark

#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/

#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/

#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/

#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/

#ElCapitan Towers Above the #Top500 in a Big #HPE Win using #AMD Instinct #MI300A system. With sustained #HPL of 1.742EF and peak speed of 2.79EF of #FP64, this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses #APU combining #CPU plus #GPU onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE #Cray Shasta liquid cooled platform, and connected via the Slingshot interconnect.
https://www.servethehome.com/el-capitan-towers-above-the-top500-in-a-big-hpe-and-amd-win/

#HPE goes Cray for #Nvidia's Blackwell #GPU, crams 224 into a single cabinet
Announced ahead of #SuperComputing conference in Atlanta, Cray's #EX154n platform will support up to 224 Nvidia Blackwell GPUs and 8,064 Grace CPU cores per cabinet. That works out to just over 10 petaFLOPS at #FP64 for #HPC applications or over 4.4 exaFLOPS FP64 for sparse AI and machine learning workloads
HPE's new ProLiant servers offer choice of Gaudi, Hopper, or Instinct acceleration
https://www.theregister.com/2024/11/13/hpe_cray_ex/ #sc24

#HPE goes Cray for #Nvidia's Blackwell #GPU, crams 224 into a single cabinet
Announced ahead of #SuperComputing conference in Atlanta, Cray's #EX154n platform will support up to 224 Nvidia Blackwell GPUs and 8,064 Grace CPU cores per cabinet. That works out to just over 10 petaFLOPS at #FP64 for #HPC applications or over 4.4 exaFLOPS FP64 for sparse AI and machine learning workloads
HPE's new ProLiant servers offer choice of Gaudi, Hopper, or Instinct acceleration
https://www.theregister.com/2024/11/13/hpe_cray_ex/ #sc24

#HPE goes Cray for #Nvidia's Blackwell #GPU, crams 224 into a single cabinet
Announced ahead of #SuperComputing conference in Atlanta, Cray's #EX154n platform will support up to 224 Nvidia Blackwell GPUs and 8,064 Grace CPU cores per cabinet. That works out to just over 10 petaFLOPS at #FP64 for #HPC applications or over 4.4 exaFLOPS FP64 for sparse AI and machine learning workloads
HPE's new ProLiant servers offer choice of Gaudi, Hopper, or Instinct acceleration
https://www.theregister.com/2024/11/13/hpe_cray_ex/ #sc24