Jan Lucas

Farzaneh Salehiminapour and Jan Lucas and Matthias Göbel and Ben Juurlink (2019). Reducing DRAM Accesses through Pseudo-Channel Mode [10]. Proceedings of the 28th Workshop on Parallel Algorithms, Parallel Computer Structures and Parallel System Software (PARS 2019). Best Student Paper Award.

Sohan Lal and Jan Lucas and Ben Juurlink (2019). SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs [11]. Proc. IEEE Int. Conf on Design Automation, and Test in Europe,(DATE)

Jan Lucas and Sohan Lal and Ben Juurlink (2018). Optimal DC/AC Data Bus Inversion Coding [12]. Proc. Int. Conf on Design Automation, and Test in Europe,(DATE)

Sohan Lal and Jan Lucas and Ben Juurlink (2018). Memory Access Granularity Aware Lossy Compression for GPUs [13]. Proc. 14th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 8)

Sohan Lal and Jan Lucas and Ben Juurlink (2017). E²MC: Entropy Encoding based Memory Compression for GPUs [14]. Proc. 31st IEEE Int. Parallel and Distributed Processing Symposium (IPDPS)

Ben H. H. Juurlink and Jan Lucas and Nadjib Mammeri and Georgios Keramidas and Katerina Pontzolkova and Ignacio Aransay and Chrysa Kokkala and Martyn Bliss and Andrew Richards (2017). Enabling GPU software developers to optimize their applications - The LPGPU(^mbox2) approach [15]. 2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. IEEE, 1–6.

Ben Juurlink and Jan Lucas and Nadjib Mammeri and Martyn Bliss and Georgios Keramidas and Chrysa Kokkala and Andrew Richards (2017). The LPGPU2 Project: Low-Power Parallel Computing on GPUs: Extended Abstract [16]. Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems. ACM, 76–80.

Jan Lucas and Ben Juurlink (2016). ALUPower: Data Dependent Power Consumption in GPUs [17]. Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016 IEEE 23rd International Symposium on

Michael Andersch and Jan Lucas and Mauricio Alvarez-Mesa and Ben Juurlink (2015). On Latency in GPU Throughput Microarchitectures [18]. Proc. IEEE Int. Symposium on Performance Analysis of Systems and Software (ISPASS), 169-170.

Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ben Juurlink (2015). Spatiotemporal SIMT and Scalarization for Improving GPU Efficiency [19]. ACM Trans. Archit. Code Optim.. ACM, 32:1–32:26.

Sohan Lal and Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2014). GPGPU Workload Characteristics and Performance Analysis [20]. Proc. 14th Int. Conf. on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 115-124.

Michael Andersch and Jan Lucas and Mauricio Alvarez-Mesa and Ben Juurlink (2014). Analyzing GPGPU Pipeline Latency [21]. Proc. 10th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 14)

Jan Lucas and Mauricio Alvarez-Mesa and Michael Andersch and Ben Juurlink (2014). Sparkk: Quality-Scalable Approximate Storage in DRAM [22]. The Memory Forum

Jan Lucas and Sohan Lal and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). DART: A GPU Architecture Exploiting Temporal SIMD for Divergent Workloads [23]. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)

Sohan Lal and Jan Lucas and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). Exploring GPGPUs Workload Characteristics and Power Consumption [24]. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)