home.social

#mi300a β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #mi300a, aggregated by home.social.

  1. Good News: Today I had the opportunity to talk with #amd staff: 1. Yes, the transformer support was a higher priority than convolutions. 2. My problem can be tracked down to the backwards pass of Conv3D 3. By using the MIOPEN_FIND_MODE=3 and MIOPEN_FIND_ENFORCE=3 env variables in #rocm 6.4 I got a huge performance boost such that my code now runs faster on the #mi300a than on the #A100 🀩

  2. Good News: Today I had the opportunity to talk with #amd staff: 1. Yes, the transformer support was a higher priority than convolutions. 2. My problem can be tracked down to the backwards pass of Conv3D 3. By using the MIOPEN_FIND_MODE=3 and MIOPEN_FIND_ENFORCE=3 env variables in #rocm 6.4 I got a huge performance boost such that my code now runs faster on the #mi300a than on the #A100 🀩

  3. Good News: Today I had the opportunity to talk with #amd staff: 1. Yes, the transformer support was a higher priority than convolutions. 2. My problem can be tracked down to the backwards pass of Conv3D 3. By using the MIOPEN_FIND_MODE=3 and MIOPEN_FIND_ENFORCE=3 env variables in #rocm 6.4 I got a huge performance boost such that my code now runs faster on the #mi300a than on the #A100 🀩

  4. πŸš€ Ready to test the limits of performance?

    Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

    πŸ’» Bring your code, ideas, and curiosity.
    πŸ”§ Optimize, accelerate, and innovate with us.
    πŸ† Let’s see what you can build!

    πŸ”— archer2.ac.uk/training/courses

    #AMDGPU #HPC #GPUComputing #Hackathon #OpenScience

  5. πŸš€ Ready to test the limits of performance?

    Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

    πŸ’» Bring your code, ideas, and curiosity.
    πŸ”§ Optimize, accelerate, and innovate with us.
    πŸ† Let’s see what you can build!

    πŸ”— archer2.ac.uk/training/courses

    #AMDGPU #HPC #GPUComputing #Hackathon #OpenScience

  6. πŸš€ Ready to test the limits of performance?

    Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

    πŸ’» Bring your code, ideas, and curiosity.
    πŸ”§ Optimize, accelerate, and innovate with us.
    πŸ† Let’s see what you can build!

    πŸ”— archer2.ac.uk/training/courses

    #AMDGPU #HPC #GPUComputing #Hackathon #OpenScience

  7. πŸš€ Ready to test the limits of performance?

    Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

    πŸ’» Bring your code, ideas, and curiosity.
    πŸ”§ Optimize, accelerate, and innovate with us.
    πŸ† Let’s see what you can build!

    πŸ”— archer2.ac.uk/training/courses

    #AMDGPU #HPC #GPUComputing #Hackathon #OpenScience

  8. πŸš€ Ready to test the limits of performance?

    Join the @EPCC Hackathon on AMD GPUs and explore the cutting-edge #MI300A and AMD’s Next Generation #Fortran Compiler with #OpenMP offload!

    πŸ’» Bring your code, ideas, and curiosity.
    πŸ”§ Optimize, accelerate, and innovate with us.
    πŸ† Let’s see what you can build!

    πŸ”— archer2.ac.uk/training/courses

    #AMDGPU #HPC #GPUComputing #Hackathon #OpenScience

  9. Today I tried out #AMD #Instinct #MI300a for my existing Deep Learning pipeline. Good news: It worked out of the box. Bad news: For some reason it could not beat my local #Nvidia #1080ti...
    After trying all sorts of #ROCM installation methods via prebuild wheels, #apptainer images etc I tried #nanogpt by @karpathy and sure enought: The gpt code ran approx 2x faster than on a #a100 ... I hope that this is due to my programming skills. Not AMD prefering #transformers over #CNNs ...

  10. Today I tried out #AMD #Instinct #MI300a for my existing Deep Learning pipeline. Good news: It worked out of the box. Bad news: For some reason it could not beat my local #Nvidia #1080ti...
    After trying all sorts of #ROCM installation methods via prebuild wheels, #apptainer images etc I tried #nanogpt by @karpathy and sure enought: The gpt code ran approx 2x faster than on a #a100 ... I hope that this is due to my programming skills. Not AMD prefering #transformers over #CNNs ...

  11. Today I tried out #AMD #Instinct #MI300a for my existing Deep Learning pipeline. Good news: It worked out of the box. Bad news: For some reason it could not beat my local #Nvidia #1080ti...
    After trying all sorts of #ROCM installation methods via prebuild wheels, #apptainer images etc I tried #nanogpt by @karpathy and sure enought: The gpt code ran approx 2x faster than on a #a100 ... I hope that this is due to my programming skills. Not AMD prefering #transformers over #CNNs ...

  12. Sizing up #MI300A’s #GPU
    It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
    #AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
    chipsandcheese.com/p/sizing-up

  13. Sizing up #MI300A’s #GPU
    It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
    #AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
    chipsandcheese.com/p/sizing-up

  14. Sizing up ’s
    It’s well ahead of ’s PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
    cut down ’s GPU to create MI300A. 24 cores is a lot of power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
    chipsandcheese.com/p/sizing-up

  15. Sizing up #MI300A’s #GPU
    It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
    #AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
    chipsandcheese.com/p/sizing-up

  16. Sizing up #MI300A’s #GPU
    It’s well ahead of #Nvidia’s #H100 PCIe for just about every major category of 32- or 64-bit operations. MI300A can achieve 113.2 TFLOPS of #FP32 throughput, with each FMA counting as two floating point operations. For comparison, H100 PCIe achieved 49.3 TFLOPS in same test.
    #AMD cut down #MI300X’s GPU to create MI300A. 24 #Zen4 cores is a lot of #CPU power, and occupies one quadrant on the MI300 chip. But MI300’s main attraction is still the GPU.
    chipsandcheese.com/p/sizing-up

  17. #Germany unleashes #AMD-powered Hunter #supercomputer
    €15 million system to serve as testbed for larger Herder supercomputer coming in 2027
    Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
    theregister.com/2025/01/17/hlr

  18. #Germany unleashes #AMD-powered Hunter #supercomputer
    €15 million system to serve as testbed for larger Herder supercomputer coming in 2027
    Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
    theregister.com/2025/01/17/hlr

  19. unleashes -powered Hunter
    €15 million system to serve as testbed for larger Herder supercomputer coming in 2027
    Built by (), Hunter is based on a EX4000 platform and powered by a combination of AMD Instinct accelerated processing units () and Genoa .
    theregister.com/2025/01/17/hlr

  20. #Germany unleashes #AMD-powered Hunter #supercomputer
    €15 million system to serve as testbed for larger Herder supercomputer coming in 2027
    Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
    theregister.com/2025/01/17/hlr

  21. #Germany unleashes #AMD-powered Hunter #supercomputer
    €15 million system to serve as testbed for larger Herder supercomputer coming in 2027
    Built by #HewlettPackardEnterprise (#HPE), Hunter is based on a #Cray EX4000 platform and powered by a combination of AMD Instinct #MI300A accelerated processing units (#APU) and #Epyc Genoa #CPU.
    theregister.com/2025/01/17/hlr

  22. #HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
    With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
    insidehpc.com/2025/01/hpe-hunt

  23. #HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
    With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
    insidehpc.com/2025/01/hpe-hunt

  24. 'Hunter' Now in Operation at Powered by APUs
    With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct accelerated processing unit (), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
    insidehpc.com/2025/01/hpe-hunt

  25. #HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
    With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
    insidehpc.com/2025/01/hpe-hunt

  26. #HPE #Cray #EX4000 'Hunter' #Supercomputer Now in Operation at #HLRS Powered by #AMD APUs
    With a theoretical peak performance of 48.1 petaflops (48.1 quadrillion floating point operations), Hunter’s speed is nearly double that of HLRS’s previous flagship supercomputer, called Hawk. Hunter is based on the AMD Instinct #MI300A accelerated processing unit (#APU), which combines CPUs, GPU accelerators, and high bandwidth memory in a single package.
    insidehpc.com/2025/01/hpe-hunt

  27. HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI

  28. HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI

  29. HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI

  30. HLRS Celebrates Inauguration of "Hunter" #Supercomputer o Hunter is based on the @AMD Instinct #MI300A APUs o ~doubles the performance of its predecessor, Hawk, while using 80% less energy o HLRS’s next supercomputer, Herder, is planned for 2027 www.hlrs.de/news/detail/... #HPC #AI

  31. Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale

    El Capitan: The World’s Fastes...

  32. Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale

    El Capitan: The World’s Fastes...

  33. Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale

    El Capitan: The World’s Fastes...

  34. Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale

    El Capitan: The World’s Fastes...

  35. Built by HPE and featuring AMD’s cutting-edge #MI300A APUs, #ElCapitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile www.youtube.com/watch?v=Q8wt... #HPC #AI #Exascale

    El Capitan: The World’s Fastes...

  36. #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.
    servethehome.com/el-capitan-to

  37. #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.
    servethehome.com/el-capitan-to

  38. Towers Above the in a Big Win using Instinct system. With sustained of 1.742EF and peak speed of 2.79EF of , this is a big jump over previous generation systems. El Capitan has a unique architecture as it uses combining plus onto a package with high-bandwidth memory. Over 44,000 of these MI300A APUs are then packed into the HPE Shasta liquid cooled platform, and connected via the Slingshot interconnect.
    servethehome.com/el-capitan-to

  39. #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.
    servethehome.com/el-capitan-to

  40. #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.
    servethehome.com/el-capitan-to

  41. #AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
    Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
    wccftech.com/amd-instinct-mi30

  42. #AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
    Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
    wccftech.com/amd-instinct-mi30

  43. With , & Offers Up To 4x Speedup Versus Discrete GPUs In
    Since the AMD Instinct MI300A accelerator uses a unified interface, it eliminates the need for data replication and does not require a distinction between the host and the device memory spaces.
    wccftech.com/amd-instinct-mi30

  44. #AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
    Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
    wccftech.com/amd-instinct-mi30

  45. #AMD #Instinct #MI300A #APU With #CDNA3 #GPU, #Zen4 #CPU & #UnifiedMemory Offers Up To 4x Speedup Versus Discrete GPUs In #HPC
    Since the AMD Instinct MI300A accelerator uses a unified #HBM interface, it eliminates the need for data replication and does not require a #programming distinction between the host and the device memory spaces.
    wccftech.com/amd-instinct-mi30