Lossless and lossy memory I/O link compression for improving performance of GPGPU workloads
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Systematic evaluation of workload clustering for extremely energy-efficient architectures
ACM SIGARCH Computer Architecture News
Adaptive virtual channel partitioning for network-on-chip in heterogeneous architectures
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special Section on Networks on Chip: Architecture, Tools, and Methodologies
Design space exploration of on-chip ring interconnection for a CPU-GPU heterogeneous architecture
Journal of Parallel and Distributed Computing
Exploiting GPU peak-power and performance tradeoffs through reduced effective pipeline latency
Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture
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Researchers in embedded and reconfigurable computing are often hindered by a lack of suitable benchmarks with which to accurately evaluate their work. Without a suitable benchmark suite, researchers use either outdated, unrealistic benchmarks or spend valuable time creating their own. In this paper, we present ERCBench—a freely-available, open-source benchmark suite geared towards embedded and reconfigurable computing research. ERCBench benchmarks represent a variety of application areas, including multimedia processing, wireless communications, and cryptography. They consist of synthesizable Verilog models for hardware accelerators and hybrid hardware/software applications that combine software-based control flow with hardware-based computation tasks.