yeonan

yeonan's Stars

• ATaylorCEngFIET/AMD-Vivado-Design-Suite-Essentials-Key-Techniques-for-Superior-RTL-Development

  Language:VHDL53

• Zachary-Lee-Jaeho/initial-settings

  vimrc and tmuxconf

  Language:Lua5

• tgrogers/ccws-2012

  Language:C++41

• csl-iisc/SUV-MICRO24

  Language:C++1

• csl-iisc/ScopeAdvice-MICRO24

  A tool to find synchronization-related performance bugs in GPU programs.

  Language:C2

• ucb-bar/AuRORA

  Virtualized Accelerator Orchestration for Multi-Tenant Workloads

  Language:C61

• prospar/false-sharing-micro24

  Language:C1

• OpenAMP/open-amp

  The main OpenAMP library implementing RPMSG, Virtio, and Remoteproc for RTOS etc

  Language:C709290

• leesou/PIM-DL-ASPLOS

  PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization

  Language:C++212

• google-research/circuit_training

  Language:Python1.1k185

• VLSIDA/OpenRAM

  An open-source static random access memory (SRAM) compiler.

  Language:Python823201

• tallendev/uvm-eval

  This serves as a repository for reproducibility of the SC21 paper "In-Depth Analyses of Unified Virtual Memory System for GPU Accelerated Computing," as well as several components of the IPDPS21 paper "Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis."

  Language:C264

• JRPan/crisp-artifact

  Language:C2

• cslab-ntua/elastic-translations-MICRO2024

  MICRO2024 Artifact for Elastic Translations

  Language:C++4

• ConvolutedDog/HyFiSS

  HyFiSS: A Hybrid Fidelity Stall-Aware Simulator for GPGPUs

  Language:C++6

• ingim/bibim

  Minimalistic, markdown-based reference manager for computer science research

  Language:Python1

• ChaseLab-PKU/BIZA

  BIZA: Design of Self-Governing Block-Interface ZNS AFA for Endurance and Performance (SOSP 2024)

  Language:C51

• NVIDIA/cuda-samples

  Samples for CUDA Developers which demonstrates features in CUDA Toolkit

  Language:C6.3k1.8k

• CMU-SAFARI/Sectored-DRAM

  A new DRAM substrate that mitigates the excessive energy consumption from both (i) transmitting unused data on the memory channel and (ii) activating a disproportionately large number of DRAM cells at low cost. Described in our paper https://arxiv.org/pdf/2207.13795.

  Language:C++5

• oscarlab/mosaic-asplos23-artifacts

  Language:C143

• CMU-SAFARI/Load-Inspector

  A binary instrumentation tool to analyze load instructions in any off-the-shelf x86(-64) program. Described by Bera et al. in https://arxiv.org/pdf/2406.18786

  Language:C++143

• llvm/Polygeist

  C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

  Language:C++478113

• rishucoding/reproduce_MICRO24_GPU_DLRM_inference

  Sharing the codebase and steps for artifact evaluation/reproduction for MICRO 2024 paper

  Language:Cuda7

• gthparch/macsim

  A heterogeneous architecture timing model simulator.

  Language:C++13749

• SamsungLabs/Sparse-Multi-DNN-Scheduling

  Open-source artifacts and codes of our MICRO'23 paper titled “Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads”.

  Language:Python32

• AIS-SNU/Optimus-CC

  [ASPLOS'23] Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression

  Language:Python51

• scale-snu/AE_DRAMScope_ISCA2024

  Language:VHDL11

• THU-DSP-LAB/ventus-gpgpu

  GPGPU processor supporting RISCV-V extension, developed with Chisel HDL

  Language:Scala60470

• THU-DSP-LAB/ventus-gpgpu-verilog

  GPGPU supporting RISCV-V, developed with verilog HDL

  Language:Verilog6310

• llvm/torch-mlir

  The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

  Language:C++1.3k498