fengzhangcs / CoRunBench
Benchmark for Co-running Single Applications on Integrated Architectures
☆12Updated 8 years ago
Alternatives and similar repositories for CoRunBench:
Users that are interested in CoRunBench are comparing it to the libraries listed below
- LonestarGPU: Irregular algorithms parallelized for GPUs☆33Updated 5 years ago
- A NUMA-aware Graph-structured Analytics Framework☆42Updated 6 years ago
- HeteroSync is a benchmark suite for performing fine-grained synchronization on tightly coupled GPUs☆28Updated 4 months ago
- A framework for pipelined computing on GPU☆29Updated 5 years ago
- A Comprehensive Benchmark Suite for Graph Computing☆67Updated 5 years ago
- A platform to evaluate techniques used in multicore graph processing.☆37Updated 6 years ago
- Asynchronous Multi-GPU Programming Framework☆45Updated 3 years ago
- ☆25Updated last year
- Medusa: Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code☆61Updated 4 years ago
- Artifact for PPoPP 2018 paper "Making Pull-Based Graph Processing Performant"☆23Updated 4 years ago
- ☆29Updated 8 years ago
- ☆23Updated 5 years ago
- A Benchmark Suite for Heterogeneous System Computation☆53Updated 3 months ago
- Chai☆42Updated last year
- Blaze runtime system that support efficient accelerator integration for big data.☆23Updated 7 years ago
- GraphMat graph analytics framework☆101Updated 2 years ago
- Intel Heterogeneous Research Compiler (iHRC)☆25Updated 2 years ago
- Third party assembler and GEMM library for NVIDIA Kepler GPU☆79Updated 5 years ago
- A pattern-based algorithmic autotuner for graph processing on GPUs.☆30Updated 2 months ago
- SIMD-X: Programming and Processing of Graph Algorithms on GPUs [USENIX ATC '19]☆19Updated 4 years ago
- Enabling on-the-fly manipulations with LLVM IR code of CUDA sources☆109Updated 2 years ago
- A Shared Memory Multithreaded Graph Benchmark Suite for Multicores☆34Updated 2 years ago
- TLB Benchmarks☆33Updated 7 years ago
- High-performance graph processing on hybrid CPU-GPU platforms by using dynamic load-balancing☆12Updated 8 years ago
- CuSha is a CUDA-based vertex-centric graph processing framework that uses G-Shards and CW representations.☆52Updated 9 years ago
- Enterprise: Breadth-First Graph Traversal on GPUs. SC'15.☆30Updated 7 years ago
- Evaluating different memory managers for dynamic GPU memory☆24Updated 4 years ago
- CUDAAdvisor: a GPU profiling tool☆48Updated 6 years ago
- ☆45Updated 2 years ago
- A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.☆10Updated 7 years ago