In this work, we adequately analyze the memory accesses from twenty benchmarks based on reuse distance theory and quantify their patterns. As a metric, the ...
As a metric, the reuse distance can be employed to evaluate the cache performance and predict the access behaviors. We calculate the reuse distance for each ...
This work adequately analyze the memory accesses from twenty benchmarks based on reuse distance theory and quantify their patterns, finding that most ...
In this work, we adequately analyze the memory accesses from twenty benchmarks based on reuse distance theory and quantify their patterns. As a metric, the ...
Oct 22, 2024 · Kiani and Rajabzadeh proposed SDA methods for analyzing both L1 and L2 cache memories in GPUs [23, 25] . The authors also used the SDA method ...
We observe the impacts of cache capacity, set associativity for L1 data cache, then plot the reuse distance distributions and explain why GPU cache exhibits ...
May 31, 2019 · Abstract. In the present paper, we propose RDGC, a reuse distance-based performance analysis approach for GPU cache hierarchy. RDGC models the ...
People also ask
What is L1 cache in GPU?
What is reuse distance in cache?
Abstract. In the present paper, we propose RDGC, a reuse distance-based perfor- mance analysis approach for GPU cache hierarchy.
This work focuses on the GPU's L1 data caches: after it is known in what order memory accesses appear in the L1 cache and which of those miss, existing multi- ...
Reuse distance analysis (RDA) is a popular method for calculating locality profiles and modeling cache performance. The present article proposes a framework ...