| 1. |
- Chen, Gang, et al.
(författare)
-
A GPU-accelerated real-time human voice separation framework for mobile phones
- 2023
-
Ingår i: Journal of systems architecture. - : Elsevier. - 1383-7621 .- 1873-6165. ; 145
-
Tidskriftsartikel (refereegranskat)abstract
- Mobile speech communication can experience significant degradation in quality when users are in a noisy acoustic environment. With the rapid development of artificial intelligence in recent years, deep learning based monaural speech separation methods have shown remarkable progress in boosting the performance of the separation accuracy. However, the latency and computational cost of these methods remain far insufficient for mobile devices. Performance and power constraints make it still challenging to deploy such methods on mobile devices due to their high computational complexity. In this paper, we present VoiceBit, an efficient and light-weight human voice separation framework for real-time speech separation on mobile devices. Specifically, we propose a light-weight speech separation network to segregate human voice and interfering noises directly from time-domain signals. We binarize the convolution blocks in down-sampling blocks to reduce computation complexity and memory footprint, and leverage scaler layers as well as learnable bias layers to enhance the representation ability of binary filters. In addition, we present a set of parallel optimizations to accelerate the operations in VoiceBit. Specifically, we adopt KKC-minor format for weight matrices of convolution layers to coalesce memory access from global memory. Then, we explore different methods to implement the transposed convolution operation under PhoneBit framework. Experimental results on the MUSDB18-HQ dataset and VCTK dataset show that VoiceBit achieves significant speedup and energy efficiency compared with state-of-the-art frameworks, while maintaining minimal compromise in accuracy.
|
|
| 2. |
- Chen, Gang, et al.
(författare)
-
EDF-VD Scheduling of Flexible Mixed-Criticality System With Multiple-Shot Transitions
- 2018
-
Ingår i: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. - 0278-0070 .- 1937-4151. ; 37:11, s. 2393-2403
-
Tidskriftsartikel (refereegranskat)abstract
- The existing mixed-criticality (MC) real-time task models assume that once any high-criticality task overruns, all high-criticality jobs execute up to their most pessimistic WCET estimations simultaneously in a one-shot manner. This is very pessimistic in the sense of unnecessary resource overbooking. In this paper, we propose a more generalized mixed-critical real-time task model, called flexible MC model with multiple-shot transitions (FMC-MST), to address this problem. In FMC-MST, high-criticality tasks can transit multiple intermediate levels to handle less pessimistic overruns independently and to nonuni-formly scale the deadline on each level. We develop a run-time schedulability analysis for FMC-MST under EDF-VD scheduling, in which a better tradeoff between the penalties of low-criticality tasks and the overruns of high-criticality tasks is achieved to improve the service quality of low-criticality tasks. We also develop a resource optimization technique to find resource-efficient level-insertion configurations for FMC-MST task systems under MC timing constraints. Experiments demonstrate the effectiveness of FMC-MST compared with the state-of-the-art techniques.
|
|
| 3. |
- Chen, Gang, et al.
(författare)
-
Fault-tolerant real-time tasks scheduling with dynamic fault handling
- 2020
-
Ingår i: Journal of systems architecture. - : ELSEVIER. - 1383-7621 .- 1873-6165. ; 102
-
Tidskriftsartikel (refereegranskat)abstract
- Predictable performance when coping with transient failures is of paramount importance in safety-critical real-time systems. Various software fault-tolerant techniques are employed towards this goal among which check-pointing is a relatively cost-effective scheme. In this paper, we propose an efficient fault-tolerant scheduling framework with run-time fault handling protocol, where criticality levels can be adaptively inserted for fault handling according to run-time fault workload. In contrast to prior works which apply with task re-execution strategy, the proposed framework adaptively determines on-demand re-executions only on the faulty checkpoint segments, rather than on the whole job. Towards this, a unified overrun handling protocol is developed to handle fault recovery adaptively to avoid over-provisioning of resources. In addition, we develop an off-line schedulability analysis technique for the proposed scheduling algorithm. The simulation results show that our fault-tolerant scheduling framework can bring up to 81% improvement in supporting low-criticality service without sacrifice in the MC-schedulability compared with the existing techniques.
|
|
| 4. |
- Chen, Gang, et al.
(författare)
-
Utilization-Based Scheduling of Flexible Mixed-Criticality Real-Time Tasks
- 2018
-
Ingår i: IEEE Transactions on Computers. - : IEEE COMPUTER SOC. - 0018-9340 .- 1557-9956. ; 67:4, s. 543-558
-
Tidskriftsartikel (refereegranskat)abstract
- Mixed-criticality models are an emerging paradigm for the design of real-time systems because of their significantly improved resource efficiency. However, formal mixed-criticality models have traditionally been characterized by two impractical assumptions: once any high-criticality task overruns, all low-criticality tasks are suspended and all other high-criticality tasks are assumed to exhibit high-criticality behaviors at the same time. In this paper, we propose a more realistic mixed-criticality model, called the flexible mixed-criticality (FMC) model, in which these two issues are addressed in a combined manner. In this new model, only the overrun task itself is assumed to exhibit high-criticality behavior, while other high-criticality tasks remain in the same mode as before. The guaranteed service levels of low-criticality tasks are gracefully degraded with the overruns of high-criticality tasks. We derive a utilization-based technique to analyze the schedulability of this new mixed-criticality model under EDF-VD scheduling. During run time, the proposed test condition serves an important criterion for dynamic service level tuning, by means of which the maximum available execution budget for low-criticality tasks can be directly determined with minimal overhead while guaranteeing mixed-criticality schedulability. Experiments demonstrate the effectiveness of the FMC scheme compared with state-of-the-art techniques.
|
|
| 5. |
- Dong, Xinyang, et al.
(författare)
-
Flexible Mixed-Criticality Scheduling with Dynamic Slack Management
- 2021
-
Ingår i: Journal of Circuits, Systems and Computers. - : World Scientific. - 0218-1266. ; 30:10
-
Tidskriftsartikel (refereegranskat)abstract
- Mixed-criticality (MC) system has attracted a lot of research attention in the past few years for its resource efficiency. Recent work attempted to provide a new MC model, the so-called Flexible Mixed-Criticality (FMC) task model, to relax the pessimistic assumptions in classic MC scheduling. However, in FMC, the behavior of MC tasks is still analyzed in offline stage. The run-time behavior such as dynamic slack has not yet been studied in FMC scheduling framework. In this paper, we present a utilization-based slack scheduling framework for FMC tasks. In particular, we monitor task execution on run time and collect dynamic slacks generated by task early completion. And these slacks can then be used either by high-criticality tasks to reduce mode-switches, or by low-criticality tasks so that less suspensions are triggered with more execution time, and thus quality of service is improved. We evaluate our approach with extensive simulations, and experiment results demonstrate the effectiveness of the proposed approaches.
|
|
| 6. |
- Liu, Di, et al.
(författare)
-
EDF-VD scheduling of mixed-criticality systems with degraded quality guarantees
- 2016
-
Ingår i: Proc. 37th Real-Time Systems Symposium. - : IEEE Computer Society. - 9781509053032 ; , s. 35-46
-
Konferensbidrag (refereegranskat)abstract
- This paper studies real-time scheduling of mixed-criticality systems where low-criticality tasks are still guaranteed some service in the high-criticality mode, with reduced execution budgets. First, we present a utilization-based schedulability test for such systems under EDF-VD scheduling. Second, we quantify the suboptimality of EDF-VD (with our test condition) in terms of speedup factors. In general, the speedup factor is a function with respect to the ratio between the amount of resource required by different types of tasks in different criticality modes, and reaches 4/3 in the worst case. Furthermore, we show that the proposed utilization-based schedulability test and speedup factor results apply to the elastic mixed-criticality model as well. Experiments show effectiveness of our proposed method and confirm the theoretical suboptimality results.
|
|
| 7. |
- Ma, Ye, et al.
(författare)
-
Efficient and Effective Dimension Control in Automotive Applications
- 2021
-
Ingår i: IEEE Transactions on Industrial Informatics. - : Institute of Electrical and Electronics Engineers (IEEE). - 1551-3203 .- 1941-0050. ; 17:3, s. 1583-1591
-
Tidskriftsartikel (refereegranskat)abstract
- In automotive industry, the production line for assembling mechanical parts of vehicles must place and weld hundreds of components on the right positions of the platform. The accuracy of deploying the components has great impact on the quality and performance of the produced vehicle. To ensure the assembly accuracy, a critical task in the production process is the so-called dimension quality control. The current state of practice in automotive industries is mainly based on a manual process where experienced engineers use production data to identify accuracy problems and suggest solutions for corrections on fixture adjustment in the assembly line. It is an extremely inefficient process, which typically takes the engineers around ten days for one batch of vehicles and a year to achieve the required assembly accuracy for final production. In this article, we present an automatic technique for dimension control. We formulate the dimension control problem as a constraint programming problem and present a refinement method to prune the exploration space. Our technique can not only identify the wrongly deployed parts leading to dimensional defects, but also provide high-quality fixture adjustment decisions. Experiments conducted on industrial production data from BMW Brilliance Automotive demonstrate the significantly improved efficiency and effectiveness of dimension control in automotive industries with our approach.
|
|
