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This issue aims to provide a closer description on how the CPU-bound microbenchmark will be executed. This was previously discussed on #310 . The experiment will work as follows:
- Execute a 512 x …
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- https://tvm.d2l.ai/chapter_cpu_schedules/matmul.html
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I'm trying to convert the matrix_mul_4x4.x file in examples/ to matrix_mul_4x4.ir using this command, but I always get this Top-level type info not found error:
./bazel-bin/xls/dslx/ir_convert/ir_c…
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Rendering is slow. I expected it to be slow given that it's a ray tracer that compiles down to an interpreted language (JavaScript), but even so, it's not ideal. Even with Bun running the native TypeS…
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If anyone is in college they might have solved this famous dp problem. Where a number of size of matrixes will be given and you need to find out the minimum number of multiplication you have to perfor…
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Hi, thank you for your great tool. It is very useful to handle the big matrix. But I found I can not use the bigmemory matrix to perform matrix multiplication （like, A%*%B, A and B are bigmemory matr…
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Encountering errors with matrix multiplication using MKL.NET.Matrix Nuget package in a docker container
Dockerfile
```
FROM mcr.microsoft.com/dotnet/sdk:6.0-windowsservercore-ltsc2022
WORKDIR c…
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### 🚀 The feature, motivation and pitch
Filing issue for enabling CUDA 12.6.2 due to an observed performance gap in PyTorch's Eager mode for plain matrix multiplications.
Confirmed that upgrading …
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I first wrote a code for dense state matrix multiplication based on the seal library. After transplanting it to the pyfhel library, I found that the speed was much faster. So I tested the ciphertext m…