Pinned Repositories
AGIBench
AGIBench
AIBench_Training_Component
DC AIBench Component
AIGCBench
[TBench 2024] Official implementation of "AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI"
BigDataBench_V5.0_BigData_ComponentBenchmark
BigDataBench V5.0 BigData ComponentBenchmark
BigDataBench_V5.0_BigData_MicroBenchmark
BigDataBench V5.0 BigData MicroBenchmark
BigVectorBench
BigVectorBench advances vector database benchmarking by defining and evaluating the embedding performance of heterogeneous data and abstracting compound queries, which can be multimodal or single-modal with fine-grained restrictions, for real-world applications.
cmlcompiler
A Unified Compiler for Classical Machine Learning
DPUBench
olxpbench
OLxPBench emphasizes that real-time queries, semantically consistent schema, and domain-specific workloads are essential in benchmarking, designing, and implementing HTAP systems.
WPC
WPC: Whole-picture workload characterization
BenchCouncil's Repositories
BenchCouncil/AIGCBench
[TBench 2024] Official implementation of "AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI"
BenchCouncil/BigVectorBench
BigVectorBench advances vector database benchmarking by defining and evaluating the embedding performance of heterogeneous data and abstracting compound queries, which can be multimodal or single-modal with fine-grained restrictions, for real-world applications.
BenchCouncil/olxpbench
OLxPBench emphasizes that real-time queries, semantically consistent schema, and domain-specific workloads are essential in benchmarking, designing, and implementing HTAP systems.
BenchCouncil/AGIBench
AGIBench
BenchCouncil/DPUBench
BenchCouncil/cmlcompiler
A Unified Compiler for Classical Machine Learning
BenchCouncil/aibench_framework
aibench framework
BenchCouncil/AIBench_Training_Component
DC AIBench Component
BenchCouncil/BigDataBench_V5.0_BigData_ComponentBenchmark
BigDataBench V5.0 BigData ComponentBenchmark
BenchCouncil/HPC-AI500-V3.0
BenchCouncil/paraFiltering
ParaFiltering: A vector retrieval algorithm strategy based on conditional filtering. It incorporates diversified filtering constraints as extra vector dimensions when building the index, uses a hierarchical recall approach during search, and adopts a GPU - optimized method for parallel filtering vector query processing.
BenchCouncil/AI.vs.Clinician
A Prospective, Multi-Site, Mixed-Blind, Multi-Arm, Randomized, and Controlled Trial for Early Sepsis Warning
BenchCouncil/aibench_scenario
BenchCouncil/AIoTBench
BenchCouncil/DC-AI-SpeedRCTs
BenchCouncil/HPC-AI500
BenchCouncil/IC-2023
IC conference is to provide a pioneering technology map through searching and advancing state-of-the-art and state-of-the-practice in processors, systems, algorithms, and applications for machine learning, deep learning, spiking neural network and other AI techniques across multidisciplinary and interdisciplinary areas.
BenchCouncil/MaxiNet
Distributed Software Defined Network Emulation System
BenchCouncil/SNNBench
Spiking Neural Network Benchmarking
BenchCouncil/bench22
Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods and tools. Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation.
BenchCouncil/bridger
BenchCouncil/containernet
BenchCouncil/Edge_AIBench_V2.0
BenchCouncil/IoTBench
BenchCouncil/aibench_application_benchmark
aibench application benchmark
BenchCouncil/BigDataBench_V5.0_Graph
BigDataBench V5.0 Graph
BenchCouncil/BigDataBench_V5.0_Streaming
BigDataBench V5.0 Streaming
BenchCouncil/DC_AIBench_Micro
DC AIBench Micro
BenchCouncil/Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
BenchCouncil/VC-MedAI