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performance-modelingHere are 88 public repositories matching this topic...Language: All
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Open Source Architecture Code Analyzer
python hpc latency neon assembly avx x86 throughput avx2 performance-analysis aarch64 avx512 out-of-order critical-path port-mapping performance-modeling arm64v8 sve in-core loop-carried-dependency
A highly-flexible GPU simulator for AMD GPUs.
Ampere's CPU Performance Model
Extra-P, automated performance modeling for HPC applications
A framework to find good combinations of optimizations for computational kernels on GPUs.
This python package provides various tools to predict energy expenditure and recovery dynamics of an athlete. The name pypermod stands for Python Performance Modeling.
Nebula: a microarchitecture simulator built from loosely coupled microservices
Performance Modeling and Sandboxing for Microservices Applications
kubernetes aws microservice modeling terminus sandboxing kops microservices-architecture performance-modeling
Dnnamo: Tools for Analysis, Modeling, and Optimization of Deep Neural Networks
Taint-based program analysis framework for empirical performance modeling.
Modelling parallel processing with GPU
thesis modeling cuda gpgpu high-performance-computing parallel-processing nvidia-gpu performance-modeling
Open-source NAND flash controller architecture lab with an executable FTL and channel scheduler simulator, Linux PCI/blk-mq driver scaffolding, fio workloads, and a roadmap toward QEMU, firmware, and FPGA validation.
fpga ftl linux-kernel qemu ssd block-storage storage-systems performance-modeling flash-controller nand-flash
CM-DARE is a measurement infrastructure for monitoring distributed training in Google Cloud (ICDCS'20)
A compiler for MiniC, a small C dialect, with six toggleable optimization passes and an ML model that recommends which passes to enable for each program. Every result is measured by timing real compiled binaries.
When does network, reliability, or recovery investment beat buying more GPUs? Accounting framework, substitution metric, and decision maps for AI training infrastructure. Paper + reproducible model.
research networking capacity-planning reliability distributed-training performance-modeling gpu-cluster
Cycle-Accurate Simulator of the Atalla-0x01
A more abstract interpretation and formalization of the established three component hydraulic model by Morton. We remove its ties to concrete metabolic measures and use evolutionary computation to fit its parameters to an athlete.
Source code for the work "dSpark: Deadline-Based Resource Allocation for Big Data Applications in Apache Spark" published in IEEE e-Science 2017
Apparatus for testing ideas about LLM inference. The code is written and maintained by agents and I don't read it; this is research, not a product.
scheduling provenance program-verification online-learning empirical-research performance-modeling confinement language-based-security effect-systems long-context llm-inference
Silicon workbench for chip blueprints, roofline analysis, tile-memory flow, and AI accelerator co-design.
visualization gpu cuda eda triton computer-architecture gemma hbm memory-hierarchy semiconductors performance-modeling tpu roofline-model tensor-cores hardware-software-codesign llm-inference openxla systolic-array flashattention deep-learning-compilers
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